Remote Senior Data Architect|Azure Lakehouse Modernization

DaCodes; México; Remote; CLP 117,878,000 - 176,817,000; Full time

Benefits offered by this job

Remote work

Global exposure to brands

Great Place to Work

Job summary

DaCodes is seeking a Senior Data Architect to lead modernization of legacy ETL workloads into scalable Azure lakehouse architectures. You will own cloud architecture decisions, analyze production workloads, and guide up to three engineers, ensuring auditable design decisions and governance across the data platform.

You will collaborate in an international team, focusing on Azure Cloud data platforms, Spark, Delta Lake, and data governance, while communicating in English for technical discussions

Qualifications

• Senior-level experience in data engineering and data architecture, with direct ownership of cloud architecture design decisions.
• Experience leading the modernization of legacy ETL workloads into lakehouse architectures.
• Hands-on experience with Apache Spark in production and PySpark for data processing and transformation.
• Strong knowledge of Delta Lake, Medallion architecture, lakehouse patterns, and data warehouse concepts.
• Experience with Azure cloud data platforms.
• Strong working knowledge of SQL Server, T-SQL, and SSIS, including the ability to investigate existing ETL logic and dependencies.
• Experience with data modeling, data governance, and data lineage.
• Working knowledge of Azure DevOps, Git-based collaboration, CI/CD, and pull request reviews.
• Experience providing technical leadership to engineers or developers; formal people management experience is not required.
• Ability to make sound decisions with incomplete information, validate assumptions, and document the reasoning behind technical choices.
• Strong communication skills to explain design decisions, clarify business rules, and coordinate implementation.
• English proficiency sufficient to participate independently in technical discussions and produce clear documentation.

Responsibilities

• Analyze legacy production workloads: Reverse engineer Alteryx workflows, SSIS packages, and SQL Server jobs to identify actual behavior, undocumented dependencies, historical fixes, and implicit business logic
• Validate automated analysis: Audit reports generated by analysis agents against original source artifacts, resolving discrepancies, omissions, and unsupported assumptions
• Own cloud architecture decisions: Define the target lakehouse architecture and establish ingestion patterns, data types, partitioning strategies, naming conventions, and scalability standards
• Define governance and security: Establish data modeling, lineage, access, and governance practices, including security policies in Unity Catalog
• Approve implementation plans: Review and formally approve documented design plans, including plan.md, before authorizing automated code generation
• Resolve technical escalations: Act as the final technical authority for exceptions, business ambiguities, and limitations of the multi‑agent system flagged as requiring human intervention
• Guide the engineering team: Provide technical direction, review implementation approaches, and unblock up to three engineers or developers simultaneously
• Approve integrations: Serve as a required technical reviewer for pull requests targeting protected branches such as preprod and main
• Maintain decision traceability: Document assumptions, alternatives, trade-offs, and approvals so architecture decisions can be reviewed and audited

Skills

Spark

PySpark

Delta Lake

Azure

SQL Server

T-SQL

Data governance

Data modeling

Leadership

CI/CD

Tools

Azure DevOps

Git

Databricks

Unity Catalog

Job description

DaCodes is seeking a Senior Data Architect to lead modernization of legacy ETL workloads into scalable Azure lakehouse architectures. You will own cloud architecture decisions, analyze production workloads, and guide up to three engineers, ensuring auditable design decisions and governance across the data platform.

You will collaborate in an international team, focusing on Azure Cloud data platforms, Spark, Delta Lake, and data governance, while communicating in English for technical discussions