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
Skills Required
- Proven experience with Microsoft Fabric, Databricks, or similar platforms
- 10+ years of consulting experience delivering data and analytics solutions
- Full lifecycle experience in Agile/CI-CD environments
- Strong analytical thinking, problem-solving, and stakeholder communication skills
- Experience with cloud data pipelines and lakehouse design
What We Do
At Abstra, we bridge the gap between North American companies and Latin America’s top talent. With over 15 years of experience in the U.S. market and US-bred founders leading the way, we focus on building long-term partnerships to achieve your organization’s unique goals, fueling your growth with flexible tech solutions and highly qualified professionals.
.png){kind=icon}
.png)
