Senior Data Architect – Azure, Lakehouse

🕒 September 30

🌐 Mexico, Colombia, +4 more countries – Remote

🇲🇽 Mexico – Remote 🇨🇴 Colombia – Remote 🇨🇱 Chile – Remote 🇦🇷 Argentina – Remote 🇺🇾 Uruguay – Remote 🇵🇪 Peru – Remote

💵 $3k - $4k / year

⏰ Full Time

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 24%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 46 days.
• Jobs at this company usually fill in 21 days.

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DaCodes.

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🚘 Automotive

🏥 Healthcare

💼 Consulting

Automotive • Healthcare • Consulting

DaCodes is a technology company specializing in delivering custom software solutions and digital transformation services across various industries. The company offers a range of services including AI-powered products, quality engineering, UX/UI design, and full-stack development. DaCodes is dedicated to helping businesses innovate and transform through cutting-edge technology solutions and expert talent augmentation. With over 900 projects completed and a global team of over 220 experts, DaCodes serves industries such as automotive, e-commerce, healthcare, and more, adapting to the unique challenges each sector presents.

📋 Description

• Analyze legacy production workloads by reverse engineering Alteryx workflows, SSIS packages, and SQL Server jobs. • Identify actual behavior, undocumented dependencies, historical fixes, and implicit business logic. • Audit automated analysis reports against original source artifacts and resolve discrepancies, omissions, and unsupported assumptions. • Define 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 before authorizing automated code generation. • Resolve technical escalations, business ambiguities, and multi-agent system limitations requiring human intervention. • Provide technical direction and unblock up to three engineers or developers simultaneously. • Review and approve pull requests targeting protected branches such as preprod and main. • Document assumptions, alternatives, trade-offs, and approvals for architecture decision traceability and auditability. • Validate automated analysis and provide technical oversight within an AI-assisted modernization workflow.

🎯 Requirements

• Senior-level experience in data engineering and data architecture, with direct ownership of cloud architecture design decisions. • Demonstrated 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. • Nice to have — non-blocking: hands-on experience with Databricks and Unity Catalog. • Nice to have — non-blocking: experience analyzing or migrating Alteryx workflows. • Nice to have — non-blocking: experience with streaming technologies such as Solace, Kafka, or Lakeflow. • Nice to have — non-blocking: broader DevOps experience supporting data platform delivery. • Nice to have — non-blocking: experience with SAST controls and vulnerability management tools, such as Fluid Attacks or similar platforms. • Nice to have — non-blocking: experience reviewing AI-generated analysis or code within an engineering workflow.

🏖️ Benefits

• Work with global brands and disruptive startups. • Remote work/Home office. • Schedule aligned with your assigned team/project. • Work Monday through Friday. • Day off on your birthday. • Major medical expenses insurance (applies to Mexico). • Life insurance (applies to Mexico). • Multicultural teams. • Access to courses and certifications. • Virtual team-building events and interest groups. • English classes. • Opportunities within our different business lines. • Proudly certified as a Great Place to Work.

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