Data Engineer
HybridDenver, Colorado, United States
Job Summary
Lead client-facing data engineering and consulting efforts, driving requirements discovery, solution design, and executive communication for enterprise data lakehouse implementations. Architect and deploy Databricks solutions leveraging PySpark, SQL, Delta Lake, and Unity Catalog to integrate modern data platforms with applications via APIs and event-driven patterns. Manage cloud infrastructure across Azure, AWS, or GCP while implementing data governance, security controls, and CI/CD automation for scalable workloads. Requires 8–12+ years in data engineering or architecture with 4–5+ years delivering Databricks solutions, supported by a Bachelor's degree and strong stakeholder engagement skills.
Required Qualifications
- 7 + years of IT experience
- Databricks (data engineering, SQL, notebooks, app/backend integration patterns)
- Deep knowledge of data modeling, data warehousing, and lakehouse patterns
- Hands‐on experience with at least one modern data platform
- Experience integrating data platforms with applications using APIs, services, or event‐driven patterns
- Solid understanding of cloud architecture concepts (security, networking, scalability, cost management)
- Strong communication skills with the ability to engage both technical and business stakeholders
- Experience working in client‐facing or consulting environments
- Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field
- 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
- Deep hands on experience with Databricks Lakehouse Platform and Apache Spark
- Strong proficiency in PySpark, SQL, Delta Lake, Databricks SQL
- Experience implementing Unity Catalog, data governance, and enterprise security controls
- Cloud experience with Azure Databricks, AWS Databricks, or GCP Databricks
- Familiarity with CI/CD, DevOps, and automation for Databricks workloads
- 8–12+ years in data engineering or architecture, with 4–5+ years delivering Databricks solutions
- Proven experience in client facing consulting roles, including requirements discovery, solution design, and executive communication
Desired Qualifications
- Enterprise data warehouses and lakehouse platforms (Nice to have Fabric, Snowflake, Synapse, BigQuery – experience)
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