Description :

Job Summary :

We are seeking a seasoned Databricks Integration Manager to lead the design, implementation, and optimization of Databricks-based data solutions.

The ideal candidate will have deep expertise in cloud platforms (especially AWS or Azure), data engineering, and integration strategies, with a strong background in managing cross-functional teams and delivering scalable data platforms.

Key Responsibilities :

- Lead end-to-end integration of Databricks with enterprise data platforms and cloud services.

- Collaborate with data architects, engineers, and business stakeholders to define integration strategies.

- Design and implement scalable data pipelines using Databricks, Spark, and cloud-native tools.

- Manage role-based access controls, Unity Catalog, and secure data environments.

- Ensure compliance with data governance, security, and performance standards.

- Provide technical leadership and mentorship to junior engineers and analysts.

- Coordinate with vendors and internal teams for smooth deployment and support.

Required Skills & Qualifications :

- 8 to 13 years of experience in data engineering, cloud integration, or DevOps roles.

- Strong hands-on experience with Databricks, Spark, Python, and YAML.

- Deep understanding of AWS/Azure cloud architecture, Unity Catalog, and network security.

- Experience with CI/CD tools and infrastructure as code.

- Proven ability to manage complex projects and cross-functional teams.

- Excellent communication and stakeholder management skills.

Preferred Qualifications :

- Databricks certification (e.g., Data Engineer Associate/Professional).

- Experience with other data platforms like Snowflake.

- Experience with Reltio MDM platform.

- Healthcare domain knowledge.

- Familiarity with Agile methodologies and project management tools.