Senior Data Architect - Azure & Lakehouse

New

DaCodesData architecture

Remote, open to candidates based in Mexico and Latin America.Full-TimeSenior

Salary not disclosed

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Job Details

Languages: English required for technical discussions, collaboration, and documentation.
Experience: Senior-level experience in data engineering and data architecture.
Required Skills: Microsoft SQL ServerAzureSparkData modelingAzure DevOpsPySpark

Bring senior-level experience in data engineering and data architecture, with direct ownership of cloud architecture design decisions.
Have demonstrated experience leading modernization of legacy ETL workloads into lakehouse architectures.
Have hands-on production experience with Apache Spark and PySpark for data processing and transformation.
Have strong knowledge of Delta Lake, Medallion architecture, lakehouse patterns, and data warehouse concepts.
Have experience with Azure cloud data platforms.
Have strong working knowledge of SQL Server, T-SQL, and SSIS, including investigation of existing ETL logic and dependencies.
Have experience with data modeling, data governance, and data lineage.
Have working knowledge of Azure DevOps, Git-based collaboration, CI/CD, and pull request reviews.
Have experience providing technical leadership to engineers or developers; formal people management experience is not required.
Be able to make decisions with incomplete information, validate assumptions, and document reasoning.
Have English proficiency sufficient for independent participation in technical discussions and clear documentation.

Reverse engineer Alteryx workflows, SSIS packages, and SQL Server jobs to identify behavior, dependencies, historical fixes, and business logic.
Audit analysis-agent reports against source artifacts and resolve discrepancies, omissions, and unsupported assumptions.
Define the target lakehouse architecture, ingestion patterns, data types, partitioning strategies, naming conventions, and scalability standards.
Establish data modeling, lineage, access, governance, and Unity Catalog security practices.
Review and formally approve documented design plans, including plan.md, before automated code generation.
Resolve technical escalations involving exceptions, business ambiguities, and limitations requiring human intervention.
Provide technical direction, review implementation approaches, and unblock up to three engineers or developers simultaneously.
Review pull requests targeting protected branches such as preprod and main.
Document assumptions, alternatives, trade-offs, and approvals for architecture decision traceability.

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