Sr. Data Analytics Engineer - Databricks - Power mission-critical decisions with governed insights Company: Ajmera Infotech Private Limited (AIPL) Experience: 5-9 years Preferred Location: Austin, Texas  (We kindly request that candidates seeking remote work outside of Texas refrain from applying) US Citizenship is a must, as we are currently not providing any sponsorship.

About Ajmera Infotech Ajmera Infotech builds planet-scale software for NYSE-listed clients, driving decisions that cannot afford to fail. Our 120-engineer team specializes in highly regulated domains - HIPAA, FDA, SOC 2 - and delivers production-grade systems that turn data into strategic advantage.

Why You Will Love It End-to-end impact - Build full-stack analytics from lake house pipelines to real-time dashboards.

Fail-safe engineering - TDD, CI/CD, DAX optimization, Unity Catalog, cluster tuning.

Modern stack - Databricks, PySpark , Delta Lake, Power BI, Airflow.

Mentorship culture - Lead code reviews, share best practices, grow as a domain expert.

Mission-critical context - Help enterprises migrate legacy analytics into cloud-native, governed platforms.

Compliance-first mindset - Work in HIPAA-aligned environments where precision matters.

Requirements Key Responsibilities

Build scalable pipelines using SQL, PySpark , Delta Live Tables on Databricks.

Orchestrate workflows with Databricks Workflows or Airflow; implement SLA-backed retries and alerting.

Design dimensional models (star/snowflake) with Unity Catalog and Great Expectations validation.

Deliver robust Power BI solutions - dashboards, semantic layers, paginated reports, DAX.

Migrate legacy SSRS reports to Power BI with zero loss of logic or governance.

Optimize compute and cost through cache tuning, partitioning, and capacity monitoring.

Document everything - from pipeline logic to RLS rules - in Git-controlled formats.

Collaborate cross-functionally to convert product analytics needs into resilient BI assets.

Champion mentorship by reviewing notebooks, dashboards, and sharing platform standards.

Must-Have Skills

5-9 years  in analytics engineering, with 3+ in production Databricks/Spark contexts.

Advanced SQL (incl. windowing), expert PySpark , Delta Lake, Unity Catalog.

Power BI mastery - DAX optimization, security rules, paginated reports.

SSRS-to-Power BI migration experience (RDL logic replication)

Strong Git, CI/CD familiarity, and cloud platform know-how (Azure/AWS).

Communication skills to bridge technical and business audiences.

Nice-to-Have Skills

Databricks Data Engineer Associate cert.

Streaming pipeline experience (Kafka, Structured Streaming).

dbt, Great Expectations, or similar data quality frameworks.

BI diversity - experience with Tableau, Looker, or similar platforms.

Cost governance familiarity (Power BI Premium capacity, Databricks chargeback).

Benefits Competitive salary

Comprehensive health insurance

401(k) plan

Flexible work hours

Professional development opportunities

You should know about the position:

This is a permanent, full-time position, working from an office in Austin, Texas, and we are not considering C2C (Corp-to-Corp), W4, or any type of contract engagement for this role.

Potential new employees must complete a drug screen and background check which includes criminal search, education certification, and employment verification before hire.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa currently.

The position will be posted until a final candidate is selected for the requisition or the requisition has enough applications.

Legal Compliance: Ensure compliance with all federal, state, and local regulations, including but not limited to E-Verify requirements for employment eligibility verification.

Application:   Interested candidates are invited to submit their resumes to