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Crate and BarrelPosted 1 month ago

Senior Director, Data Engineering

RemoteUnited States

Full TimeSenior LevelLarge

Job Summary

Provide executive leadership and strategic direction for a multi-faceted Data Engineering organization spanning multiple product lines. Define and champion the long-term technology vision, data analytics, and AI strategy, ensuring alignment with company objectives. Lead and mentor senior data engineering leaders while driving execution of initiatives to deliver scalable, reliable data platforms. Modernize the enterprise data platform on Google Cloud Platform, establish a Medallion Data Architecture, and own engineering standards for ELT/ETL, DataOps, and observability. Collaborate with C-level executives to influence business strategy and represent data capabilities to external stakeholders. Anticipate market shifts and guide the organization through technological changes. Lead batch and streaming pipelines, APIs, and platform operations while building a world-class, geographically distributed engineering team.

Required Qualifications

  • 15+ years of extensive experience in data engineering
  • 7+ years in executive leadership roles overseeing large, complex engineering organizations
  • Bachelor's or Master's degree in Computer Science, Engineering or related field
  • Proven track record of defining and executing enterprise-wide data strategy that drives significant business impact and advancements in data capabilities
  • Proven track record of developing and mentoring senior data engineering leaders
  • Proven ability to lead and inspire large, complex data engineering organizations
  • Deep and broad understanding of current and emerging data processing technologies, data architectural paradigms (e.g., data mesh, data lakehouse), cloud-native data, and engineering best practices for data
  • Outstanding business acumen and financial literacy, with experience managing significant budgets and linking data investments to tangible business outcomes and strategic value
  • Superior communication, negotiation, and influencing skills, with the ability to build strong relationships and drive alignment at the executive level on data strategies
  • Demonstrated success in building, scaling, and leading high-performing, geographically distributed data and machine learning engineering teams
  • Expertise in driving large-scale data transformation initiatives and fostering a culture of innovation in data utilization, agility in delivery, and operational excellence in data systems
  • Ability to think strategically about long-term industry trends in data and translate them into actionable data engineering strategies
  • Strong problem-solving skills, with the ability to make critical decisions in complex and ambiguous data situations
  • Experience managing significant budgets
  • Experience linking data investments to tangible business outcomes and strategic value
  • Experience building strong relationships and drive alignment at the executive level on data strategies
  • Experience building, scaling, and leading high-performing, geographically distributed data and machine learning engineering teams
  • Experience driving large-scale data transformation initiatives
  • Experience fostering a culture of innovation in data utilization
  • Experience with agility in delivery
  • Experience with operational excellence in data systems
  • Experience thinking strategically about long-term industry trends in data
  • Experience translating long-term industry trends in data into actionable data engineering strategies
  • Experience making critical decisions in complex and ambiguous data situations
  • Experience leading and mentoring senior data engineering leaders
  • Experience leading and inspiring large, complex data engineering organizations
  • Experience with data processing technologies
  • Experience with data architectural paradigms (e.g., data mesh, data lakehouse)
  • Experience with cloud-native data
  • Experience with engineering best practices for data
  • Experience managing significant budgets
  • Experience linking data investments to tangible business outcomes and strategic value
  • Experience with communication, negotiation, and influencing skills
  • Experience building strong relationships
  • Experience driving alignment at the executive level on data strategies
  • Experience building, scaling, and leading high-performing, geographically distributed data and machine learning engineering teams
  • Experience driving large-scale data transformation initiatives
  • Experience fostering a culture of innovation in data utilization
  • Experience with agility in delivery
  • Experience with operational excellence in data systems
  • Experience thinking strategically about long-term industry trends in data
  • Experience translating long-term industry trends in data into actionable data engineering strategies
  • Experience making critical decisions in complex and ambiguous data situations
  • Experience leading and mentoring senior data engineering leaders
  • Experience leading and inspiring large, complex data engineering organizations
  • Experience with data processing technologies
  • Experience with data architectural paradigms (e.g., data mesh, data lakehouse)
  • Experience with cloud-native data
  • Experience with engineering best practices for data
  • Experience with communication, negotiation, and influencing skills
  • Experience building strong relationships
  • Experience driving alignment at the executive level on data strategies
  • Experience building, scaling, and leading high-performing, geographically distributed data and machine learning engineering teams
  • Experience driving large-scale data transformation initiatives
  • Experience fostering a culture of innovation in data utilization
  • Experience with agility in delivery
  • Experience with operational excellence in data systems
  • Experience thinking strategically about long-term industry trends in data
  • Experience translating long-term industry trends in data into actionable data engineering strategies
  • Experience making critical decisions in complex and ambiguous data situations
  • Experience leading and mentoring senior data engineering leaders
  • Experience leading and inspiring large, complex data engineering organizations
  • Experience with data processing technologies
  • Experience with data architectural paradigms (e.g., data mesh, data lakehouse)
  • Experience with cloud-native data
  • Experience with engineering best practices for data
  • Experience with communication, negotiation, and influencing skills
  • Experience building strong relationships
  • Experience driving alignment at the executive level on data strategies
  • Experience building, scaling, and leading high-performing, geographically distributed data and machine learning engineering teams
  • Experience driving large-scale data transformation initiatives
  • Experience fostering a culture of innovation in data utilization
  • Experience with agility in delivery
  • Experience with operational excellence in data systems
  • Experience thinking strategically about long-term industry trends in data
  • Experience translating long-term industry trends in data into actionable data engineering strategies
  • Experience making critical decisions in complex and ambiguous data situations
  • Experience leading and mentoring senior data engineering leaders
  • Experience leading and inspiring large, complex data engineering organizations
  • Experience with data processing technologies
  • Experience with data architectural paradigms (e.g., data mesh, data lakehouse)
  • Experience with cloud-native data
  • Experience with engineering best practices for data
  • Experience with communication, negotiation, and influencing skills
  • Experience building strong relationships
  • Experience driving alignment at the executive level on data strategies
  • Experience building, scaling, and leading high-performing, geographically distributed data and machine learning engineering teams
  • Experience driving large-scale data transformation initiatives
  • Experience fostering a culture of innovation in data utilization
  • Experience with agility in delivery
  • Experience with operational excellence in data systems
  • Experience thinking strategically about long-term industry trends in data
  • Experience translating long-term industry trends in data into actionable data engineering strategies
  • Experience making critical decisions in complex and ambiguous data situations
  • Experience leading and mentoring senior data engineering leaders
  • Experience leading and inspiring large, complex data engineering organizations
  • Experience with data processing technologies
  • Experience with data architectural paradigms (e.g., data mesh, data lakehouse)
  • Experience with cloud-native data
  • Experience with engineering best practices for data
  • Experience with communication, negotiation, and influencing skills
  • Experience building strong relationships
  • Experience driving alignment at the executive level on data strategies
  • Experience building, scaling, and leading high-performing, geographically distributed data and machine learning engineering teams
  • Experience driving large-scale data transformation initiatives
  • Experience fostering a culture of innovation in data utilization
  • Experience with agility in delivery
  • Experience with operational excellence in data systems
  • Experience thinking strategically about long-term industry trends in data
  • Experience translating long-term industry trends in data into actionable data engineering strategies
  • Experience making critical decisions in complex and ambiguous data situations
  • Experience leading and mentoring senior data engineering leaders
  • Experience leading and inspiring large, complex data engineering organizations
  • Experience with data processing technologies
  • Experience with data architectural paradigms (e.g., data mesh, data lakehouse)
  • Experience with cloud-native data
  • Experience with engineering best practices for data
  • Experience with communication, negotiation, and influencing skills
  • Experience building strong relationships
  • Experience driving alignment at the executive level on data strategies
  • Experience building, scaling, and leading high-performing, geographically distributed data and machine learning engineering teams
  • Experience driving large-scale data transformation initiatives
  • Experience fostering a culture of innovation in data utilization
  • Experience with agility in delivery
  • Experience with operational excellence in data systems
  • Experience thinking strategically about long-term industry trends in data
  • Experience translating long-term industry trends in data into actionable data engineering strategies
  • Experience making critical decisions in complex and ambiguous data situations
  • Experience leading and mentoring senior data engineering leaders
  • Experience leading and inspiring large, complex data engineering organizations
  • Experience with data processing technologies
  • Experience with data architectural paradigms (e.g., data mesh, data lakehouse)
  • Experience with cloud-native data
  • Experience with engineering best practices for data
  • Experience with communication, negotiation, and influencing skills
  • Experience building strong relationships
  • Experience driving alignment at the executive level on data strategies
  • Experience building, scaling, and leading high-performing, geographically distributed data and machine learning engineering teams
  • Experience driving large-scale data transformation initiatives
  • Experience fostering a culture of innovation in data utilization
  • Experience with agility in delivery
  • Experience with operational excellence in data systems
  • Experience thinking strategically about long-term industry trends in data
  • Experience translating long-term industry trends in data into actionable data engineering strategies
  • Experience making critical decisions in complex and ambiguous data situations
  • Experience leading and mentoring senior data engineering leaders
  • Experience leading and inspiring large, complex data engineering organizations
  • Experience with data processing technologies
  • Experience with data architectural paradigms (e.g., data mesh, data lakehouse)
  • Experience with cloud-native data
  • Experience with engineering best practices for data
  • Experience with communication, negotiation, and influencing skills
  • Experience building strong relationships
  • Experience driving alignment at the executive level on data strategies
  • Experience building, scaling, and leading high-performing, geographically distributed data and machine learning engineering teams
  • Experience driving large-scale data transformation initiatives
  • Experience fostering a culture of innovation in data utilization
  • Experience with agility in delivery
  • Experience with operational excellence in data systems
  • Experience thinking strategically about long-term industry trends in data
  • Experience translating long-term industry trends in data into actionable data engineering strategies
  • Experience making critical decisions in complex and ambiguous data situations
  • Experience leading and mentoring senior data engineering leaders
  • Experience leading and inspiring large, complex data engineering organizations
  • Experience with data processing technologies
  • Experience with data architectural paradigms (e.g., data mesh, data lakehouse)
  • Experience with cloud-native data
  • Experience with engineering best practices for data
  • Experience with communication, negotiation, and influencing skills
  • Experience building strong relationships
  • Experience driving alignment at the executive level on data strategies
  • Experience building, scaling, and leading high-performing, geographically distributed data and machine learning engineering teams
  • Experience driving large-scale data transformation initiatives
  • Experience fostering a culture of innovation in data utilization
  • Experience with agility in delivery
  • Experience with operational excellence in data systems
  • Experience thinking strategically about long-term industry trends in data
  • Experience translating long-term industry trends in data into actionable data engineering strategies
  • Experience making critical decisions in complex and ambiguous data situations
  • Experience leading and mentoring senior data engineering leaders
  • Experience leading and inspiring large, complex data engineering organizations
  • Experience with data processing technologies
  • Experience with data architectural paradigms (e.g., data mesh, data lakehouse)
  • Experience with cloud-native data
  • Experience with engineering best practices for data
  • Experience with communication, negotiation, and influencing skills
  • Experience building strong relationships
  • Experience driving alignment at the executive level on data strategies
  • Experience building, scaling, and leading high-performing, geographically distributed data and machine learning engineering teams
  • Experience driving large-scale data transformation initiatives
  • Experience fostering a culture of innovation in data utilization
  • Experience with agility in delivery
  • Experience with operational excellence in data systems
  • Experience thinking strategically about long-term industry trends in data
  • Experience translating long-term industry trends in data into actionable data engineering strategies
  • Experience making critical decisions in complex and ambiguous data situations
  • Experience leading and mentoring senior data engineering leaders
  • Experience leading and inspiring large, complex data engineering organizations
  • Experience with data processing technologies
  • Experience with data architectural paradigms (e.g., data mesh, data lakehouse)
  • Experience with cloud-native data
  • Experience with engineering best practices for data
  • Experience with communication, negotiation, and influencing skills
  • Experience building strong relationships
  • Experience driving alignment at the executive level on data strategies
  • Experience building, scaling, and leading high-performing, geographically distributed data and machine learning engineering teams
  • Experience driving large-scale data transformation initiatives
  • Experience fostering a culture of innovation in data utilization
  • Experience with agility in delivery
  • Experience with operational excellence in data systems
  • Experience thinking strategically about long-term industry trends in data
  • Experience translating long-term industry trends in data into actionable data engineering strategies
  • Experience making critical decisions in complex and ambiguous data situations
  • Experience leading and mentoring senior data engineering leaders
  • Experience leading and inspiring large, complex data engineering organizations
  • Experience with data processing technologies
  • Experience with data architectural paradigms (e.g., data mesh, data lakehouse)
  • Experience with cloud-native data
  • Experience with engineering best practices for data
  • Experience with communication, negotiation, and influencing skills
  • Experience building strong relationships
  • Experience driving alignment at the executive level on data strategies
  • Experience building, scaling, and leading high-performing, geographically distributed data and machine learning engineering teams
  • Experience driving large-scale data transformation initiatives
  • Experience fostering a culture of innovation in data utilization
  • Experience with agility in delivery
  • Experience with operational excellence in data systems
  • Experience thinking strategically about long-term industry trends in data
  • Experience translating long-term industry trends in data into actionable data engineering strategies
  • Experience making critical decisions in complex and ambiguous data situations
  • Experience leading and mentoring senior data engineering leaders
  • Experience leading and inspiring large, complex data engineering organizations
  • Experience with data processing technologies
  • Experience with data architectural paradigms (e.g., data mesh, data lakehouse)
  • Experience with cloud-native data
  • Experience with engineering best practices for data
  • Experience with communication, negotiation, and influencing skills
  • Experience building strong relationships
  • Experience driving alignment at the executive level on data strategies
  • Experience building, scaling, and leading high-performing, geographically distributed data and machine learning engineering teams
  • Experience driving large-scale data transformation initiatives
  • Experience fostering a culture of innovation in data utilization
  • Experience with agility in delivery
  • Experience with operational excellence in data systems
  • Experience thinking strategically about long-term industry trends in data
  • Experience translating long-term industry trends in data into actionable data engineering strategies
  • Experience making critical decisions in complex and ambiguous data situations
  • Experience leading and mentoring senior data engineering leaders
  • Experience leading and inspiring large, complex data engineering organizations
  • Experience with data processing technologies
  • Experience with data architectural paradigms (e.g., data mesh, data lakehouse)
  • Experience with cloud-native data
  • Experience with engineering best practices for data
  • Experience with communication, negotiation, and influencing skills
  • Experience building strong relationships
  • Experience driving alignment at the executive level on data strategies
  • Experience building, scaling, and leading high-performing, geographically distributed data and machine learning engineering teams
  • Experience driving large-scale data transformation initiatives
  • Experience fostering a culture of innovation in data utilization
  • Experience with agility in delivery
  • Experience with operational excellence in data systems
  • Experience thinking strategically about long-term industry trends in data
  • Experience translating long-term industry trends in data into actionable data engineering strategies
  • Experience making critical decisions in complex and ambiguous data situations
  • Experience leading and mentoring senior data engineering leaders
  • Experience leading and inspiring large, complex data engineering organizations
  • Experience with data processing technologies
  • Experience with data architectural paradigms (e.g., data mesh, data lakehouse)
  • Experience with cloud-native data
  • Experience with engineering best practices for data
  • Experience with communication, negotiation, and influencing skills
  • Experience building strong relationships
  • Experience driving alignment at the executive level on data strategies
  • Experience building, scaling, and leading high-performing, geographically distributed data and machine learning engineering teams
  • Experience driving large-scale data transformation initiatives
  • Experience fostering a culture of innovation in data utilization
  • Experience with agility in delivery
  • Experience with operational excellence in data systems
  • Experience thinking strategically about long-term industry trends in data
  • Experience translating long-term industry trends in data into actionable data engineering strategies
  • Experience making critical decisions in complex and ambiguous data situations
  • Experience leading and mentoring senior data engineering leaders
  • Experience leading and inspiring large, complex data engineering organizations
  • Experience with data processing technologies
  • Experience with data architectural paradigms (e.g., data mesh, data lakehouse)
  • Experience with cloud-native data
  • Experience with engineering best practices for data
  • Experience with communication, negotiation, and influencing skills
  • Experience building strong relationships
  • Experience driving alignment at the executive level on data strategies
  • Experience building, scaling, and leading high-performing, geographically distributed data and machine learning engineering teams
  • Experience driving large-scale data transformation initiatives
  • Experience fostering a culture of innovation in data utilization
  • Experience with agility in delivery
  • Experience with operational excellence in data systems
  • Experience thinking strategically about long-term industry trends in data
  • Experience translating long-term industry trends in data into actionable data engineering strategies
  • Experience making critical decisions in complex and ambiguous data situations

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