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McNees Wallace & NurickPosted 3 weeks ago

Data Platform & Integration Engineer

RemoteUnited States

Full TimeMedium

Job Summary

Design, build, and manage the firm's Snowflake data warehouse and MuleSoft integration platform from the ground up, including account architecture, role-based access controls, and scalable ELT/ETL pipelines using dbt and Snowpipe. Own the enterprise data lineage strategy, cataloging systems, and governance policies while establishing security, performance tuning, and cost optimization practices. Lead the full lifecycle of integration flows, API design, and deployment, serving as the primary escalation point for troubleshooting platform issues and translating business requirements into scalable technical solutions. Maintain comprehensive documentation for architecture, mappings, and lineage to support operational and audit requirements.

Required Qualifications

  • Bachelor's degree in Information Technology, Information Systems, Computer Science, or a related field, or equivalent practical experience
  • 8+ years of experience in data engineering, systems integration, platform development, or related disciplines, including experience building enterprise data and integration environments from the ground up
  • Strong proficiency in SQL and at least one programming or scripting language such as Python, Java, or DataWeave
  • Demonstrated experience designing and implementing ETL/ELT pipelines, enterprise data models, and cloud-based data warehouse solutions
  • Hands-on experience with Snowflake or comparable cloud data warehouse platforms such as Databricks, Redshift, or BigQuery, including administration, performance tuning, and role-based security
  • Experience with enterprise integration or iPaaS platforms, ideally MuleSoft, including API design and development using REST, SOAP, and RAML/OAS specifications
  • Strong understanding of API-led connectivity, reusable API design, integration architecture patterns, and application networks
  • Experience with data governance, metadata management, data quality, data cataloging, and data lineage tools such as Snowflake Horizon Catalog, Atlan, Collibra, or Alation
  • Familiarity with CI/CD pipelines, Infrastructure as Code, event-driven architecture, and messaging technologies such as Apache Kafka
  • Proven ability to independently lead technology initiatives from requirements gathering through architecture, implementation, deployment, and ongoing operational support

Desired Qualifications

  • Experience with legal technology platforms such as Fulcrum, Intapp, NetDocuments, Aderant, or Elite, or experience within a professional services or legal environment, is preferred
  • Relevant technical certifications, such as Microsoft Certified: Azure Data Engineer Associate, are a plus

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