Lead Data Engineer

Remote $150k–$242k lead English B2 2 months ago full-time quality 9/10

AzureDWHSQLPySparkAzure Synapse AnalyticsAzure Data Lake Storage Gen2Azure SQL Managed Instancedata modelingScrum

Act as a primary technical point of contact for the client, clarifying requirements and translating business goals into technical solutions
Own and drive the DWH delivery plan, including prioritization, planning, and progress tracking
Identify risks and dependencies (data, legacy systems, delivery) and proactively propose mitigation strategies
Perform code reviews and ensure high quality of SQL, PySpark, and data models across the team, ensure consistent quality and architectural alignment
Align technical solutions with stakeholders and present trade-offs and recommendations
Distribute tasks within the team and maintain a sustainable development pace.

5+ years of experience in Data Engineering, including 2+ years in Azure
Expert-level SQL skills (complex analytical queries, performance optimization)
Strong experience with Azure Synapse Analytics, PySpark
Hands-on experience with Azure Data Lake Storage Gen2 and data layer design (Raw / Silver / Gold)
Experience with Azure SQL Managed Instance
Strong knowledge of data modeling (Kimball / Inmon, SCD, historical data handling)
Solid experience designing and building enterprise Data Warehouses (fact/dimension modeling, aggregation layers)
Experience in technical leadership (code reviews, architecture decisions, mentoring)
Experience working in Scrum teams and managing delivery from high-level requirements
English level B2+ (regular communication with the client).

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