Role & responsibilities Key Responsibilities:

1. Technical Leadership: Provide technical guidance and mentorship to data engineering teams

fostering a culture of innovation and continuous improvement.

2. Solution Architecture: Design and architect scalable high-performance data solutions on

Databricks leveraging components like Delta Lake Databricks Workflows Databricks SQL Databricks

Machine Learning and MLflow to meet client requirements.

3. Client Engagement: Serve as the primary technical point of contact for clients understanding

their business needs and translating them into effective data solutions.

4. Project Management: Lead and manage end-to-end project delivery ensuring projects are

completed on time within budget and to the highest quality standards.

5. Data Modeling: Develop and maintain comprehensive data models that support analytics

reporting and machine learning use cases.

6. Performance Optimization: Continuously monitor and optimize data pipelines and systems

within the Databricks workplace to ensure optimal performance and cost-efficiency.

7. Technology Evangelism: Stay abreast of the latest Databricks technologies and industry trends

and advocate for their adoption within the organization.

8. Team Collaboration: Foster strong collaboration with data scientists analysts and other

stakeholders to ensure alignment and successful project outcomes.

Qualifications we seek in you!

Minimum Qualifications





- Bachelor's or Master's degree in Computer Science Engineering or a related technical field
- experience in data engineering with experience in technical leadership role
- Deep expertise in Databricks technologies and data services
- Proven track record in architecting and delivering complex data solutions on Databricks
- Strong leadership communication and client-facing skills
- Experience in data modeling ETL processes and data warehousing
- Excellent problem-solving analytical and decision-making skills

Technical Skills and Expertise:

- Databricks Components: Deep understanding of core Databricks components for data

engineering including Delta Lake Databricks Workflows Databricks Jobs Databricks SQL Databricks

Machine Learning MLflow Unity Catalog Databricks Repos and Databricks Notebooks

- Programming Languages: Proficiency in Python SQL PySpark and Spark for data processing

transformation and analysis

- Data Warehousing and ETL: Expertise in designing and implementing data warehousing solutions

ETL processes and data modeling techniques within the Databricks Lakehouse architecture

- Machine Learning: Familiarity with Databricks Machine Learning and MLflow for model

development tracking and deployment

- Big Data Technologies: Expertise in big data frameworks like Apache Spark for handling largescale data processing within the Databricks environment

📌 Senior Principal Consultant Databricks Tech Lead (Hyderabad)
🏢 Genpact
📍 Hyderabad