About this role
Job Description
Our client is seeking a Senior Microsoft Data Engineer to design and deliver modern data platform solutions for their Microsoft engineering projects. The right candidate is a hands-on technical leader with deep expertise in cloud data architecture, lakehouse platforms, and scalable data pipelines. This person thrives as a problem solver, mentor, and team player with the ability to operate independently, translate architecture into production-ready solutions, and contribute to a growing consultancy with a path toward partnership.
Location: Only LATAM - 100% Remote.
Working hours are based on the US Central–Eastern Time Zone.
About Us
Abstra is a fast-growing, Nearshore Tech Talent services company, providing top Latin American tech talent to U.S. companies and beyond. Founded by U.S.-bred engineers with over 15 years of experience, Abstra specializes in sourcing skilled professionals across a wide range of technologies to meet our clients’ needs, driving innovation and efficiency.
Role Experience and Soft Skills
• 10+ years of consulting experience delivering data and analytics solutions
• Proven experience with Microsoft Fabric, Databricks, or similar platforms
• Ability to work through ambiguity and independently deliver scalable solutions
• Full lifecycle experience (architecture, build, deployment, support) in Agile/CI-CD environments
• Strong analytical thinking, problem-solving, and stakeholder communication skills
• Experience working across data science, analytics, and business teams
• Ability to support both reporting and advanced analytics use cases
• Self-directed, entrepreneurial mindset with strong ownership
• Commitment to documentation and creation of reusable patterns
• Required Technical Experience Microsoft Fabric, Azure Databricks, or equivalent lakehouse platforms
• Spark-based processing (PySpark / Spark SQL)
• Cloud data pipelines (Fabric Pipelines, ADF, or similar tools)
• Azure ML pipelines or integration with ML workflows
• Python or R, plus strong SQL expertise
• Lakehouse design (medallion architecture, performance optimization)
• Power BI and reporting enablement
• CI/CD, deployment automation, and DevOps practices
• Data governance, security, and quality frameworks
• Monitoring and support of production data systems
Preferred Certifications:
• Fabric Analytics Engineer Associate (DP-600)
• Fabric Data Engineer Associate (DP-700)
• Azure Data Engineer Associate (DP-203)
• Databricks or Spark certifications
Responsibilities
• Design and deliver scalable data platforms, pipelines, and lakehouse solutions
• Translate architecture into production-ready implementations independently
• Enable data science and reporting teams with high-quality, reliable data
• Implement automation, CI/CD, and governance best practices
• Monitor, troubleshoot, and optimize production environments
• Lead requirements gathering and managing delivery end-to-end
• Build strong client relationships and contribute to growth
• Support sales efforts and help define reusable delivery patterns
Our Client Perks
• Permanent, long-term role with strong ownership and accountability expectations
• Quarterly bonus for utilization and sales contribution, annual compensation review
• Remote-first culture supporting flexibility and work-life balance
• Structured career progression with mentorship and clear development pathways