Senior Databricks Engineer

About the Role We are seeking a Senior Databricks Engineer to design, develop, and optimize scalable data pipelines and analytics solutions on the Databricks platform. The ideal candidate will be a hands-on expert in data engineering, cloud infrastructure, and distributed data processing, with a deep understanding of how to build reliable and performant data ecosystems to power business insights and AI / ML initiatives.

Key Responsibilities

Design &

Development :

Build and maintain scalable ETL / ELT data pipelines using Apache Spark and Databricks.

Develop Delta Lake architectures and optimize data storage for performance and cost.

Automate data ingestion, transformation, and orchestration processes across multiple data sources.

Build different stages of medallion architecture such as Bronze, Silver and Gold layer

Data Architecture & Modeling :

Collaborate with data architects to design data lakehouse and warehouse solutions.

Implement data quality frameworks, versioning, and governance standards (e.g., Unity Catalog).

Optimize Spark jobs, cluster configurations, and query performance.

Cloud & Infrastructure :

Work with Azure Databricks or AWS to configure and manage cloud-based data platforms.

Develop and manage CI / CD pipelines for Databricks notebooks, workflows, and jobs.

Implement security best practices for data access, encryption, and compliance.

Collaboration & Leadership :

Partner with data scientists, analysts, and product teams to enable data-driven decisions.

Provide technical mentorship to junior engineers.

Contribute to strategic planning and architecture reviews.

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field.

6+ years of experience in data engineering or software development.

4+ years hands-on experience with Databricks and Apache Spark.

Strong proficiency in Python, SQL, and PySpark.

Experience with Delta Lake, Data Lakehouse, and Data Warehousing concepts.

Solid understanding of data modeling, ETL design, medallion architecture and distributed data processing.

Familiarity with CI / CD tools (Azure DevOps, GitHub Actions, Jenkins, etc.).

Cloud platform expertise in Azure, AWS, or GCP.

Preferred Qualifications

Experience with machine learning pipelines in Databricks (MLflow).

Knowledge of data governance and compliance frameworks.

Experience integrating Databricks with BI tools like Power BI, Tableau, or Looker.

Certifications such as :

Databricks Certified Data Engineer Associate or Professional

Azure Data Engineer Associate

AWS Big Data Specialty

Soft Skills

Strong problem-solving and analytical thinking.

Excellent communication and collaboration abilities.

Proactive mindset with ownership of deliverables.

Passion for learning emerging data technologies.

Why Join Us

Work with cutting-edge data technologies on large-scale projects.

Opportunity to shape the organization’s data strategy and architecture.

Collaborative and innovative culture focused on continuous growth.