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Job Description
Senior Data Engineer / Data Architect focused on evaluating and modernizing an enterprise data platform and data lake environments.
Responsibilities
- Assess current enterprise data environments, covering data lake architecture, ingestion frameworks, transformations, security models, lineage, and operational support practices
- Lead architecture reviews and recommend changes to improve scalability, performance, governance, and long-term platform modernization
- Design, develop, and maintain data pipelines and integration solutions that deliver trusted, high-quality data for reporting, analytics, and business operations
- Build and improve data governance processes including metadata management, cataloging, data lineage, data quality monitoring, sensitivity classification, and access controls
- Work with business stakeholders, data stewards, infrastructure teams, security teams, and application owners to deliver secure and scalable data solutions
- Implement and maintain controls for data privacy, regulatory compliance, audit readiness, and enterprise security requirements
- Define operational standards for monitoring, alerting, troubleshooting, performance optimization, deployment validation, and production support
- Provide technical leadership through architecture guidance, code reviews, mentoring, and knowledge transfer across data engineering and analytics teams
- Produce and maintain architecture documentation, technical standards, governance procedures, implementation roadmaps, and executive-level recommendations
- Support evaluation of cloud data warehousing and lakehouse technologies, including interoperability, scalability, governance, and cost optimization
Requirements
- Bachelor's degree in Computer Science, Information Technology, or a related field
- 7+ years of experience in data engineering, data architecture, business intelligence engineering, or enterprise data platform development
- Strong experience with Microsoft Fabric
- Strong experience with Azure Synapse Analytics
- Strong experience with Azure Data Lake Storage (ADLS Gen2)
- Strong experience with OneLake
- Strong experience with Power BI
- Strong experience with Power Automate
- Strong experience with Microsoft Purview
- Strong experience with Azure-based data integration and analytics services
- Deep understanding of data lake architecture, lakehouse methodologies, data warehousing, dimensional modeling, semantic modeling, metadata management, and enterprise governance frameworks
- Experience leading architecture assessments, defining future-state solutions, creating technology roadmaps, and presenting recommendations to technical and executive audiences
- Advanced SQL with hands-on ETL/ELT development, orchestration, data modeling, performance tuning, data validation, and issue resolution
- Strong understanding of governance and security controls including role-based access, data classification, lineage, cataloging, audit logging, and change management
- Proven ability to mentor engineers, lead design reviews, establish engineering standards, and promote best practices across teams
- Excellent communication skills for explaining complex technical concepts, architecture decisions, risks, and implementation strategies to diverse stakeholders
Technologies
- Microsoft Fabric
- Azure Synapse Analytics
- Azure Data Lake Storage (ADLS Gen2)
- OneLake
- Power BI
- Power Automate
- Microsoft Purview
- Snowflake
- ETL/ELT
- Azure
Preferred Qualifications
- Experience with DevOps practices for enterprise data platforms, including Git-based source control
- Experience with DevOps practices for enterprise data platforms, including CI/CD pipelines
- Experience with DevOps practices for enterprise data platforms, including automated deployments
- Experience with DevOps practices for enterprise data platforms, including environment promotion strategies
- Experience with DevOps practices for enterprise data platforms, including rollback planning
- Experience with DevOps practices for enterprise data platforms, including separation-of-duties controls
- Familiarity with Snowflake architecture and administration, including performance optimization, workload management, governance, security, and cost management
- Experience evaluating and comparing cloud data platforms for scalability, governance, interoperability, performance, and long-term architecture strategy
- Knowledge of data privacy regulations, security frameworks, compliance requirements, and audit-ready controls for sensitive enterprise data
Preferred Certifications
- Microsoft Certified: Fabric Data Engineer Associate
- Microsoft Certified: Fabric Analytics Engineer Associate
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Power BI Data Analyst Associate
- Microsoft certifications related to Microsoft Purview, Information Protection, Data Governance, Security, Privacy, or Compliance
- Microsoft Azure Fundamentals, Data Fundamentals, or Security Fundamentals
- Snowflake SnowPro Core, SnowPro Advanced Data Engineer, SnowPro Advanced Architect, or similar cloud data platform certifications
Additional Details
- Location: Los Angeles, CA (onsite)
- Work type: Contract
- Compensation: USD 70 - 75 per hour
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