Data Engineering Practice Lead

19 hours ago


Hyderabad, Telangana, India Recro Full time
Data Engineering Practice Lead - Databricks

We are seeking a visionary leader to drive innovation and growth in our Databricks practice. As the Data Engineering Practice Lead, you will be responsible for developing and expanding our Databricks capabilities, delivering cutting-edge data solutions, and driving impactful customer engagements.

About the Role

This is an exceptional opportunity to lead a growing team of data engineers, develop methodologies, best practices, and service offerings tailored to client needs. You will oversee multiple customer projects, providing technical leadership and ensuring high-quality delivery of Databricks-based solutions.

- Develop and expand our Databricks practice, crafting methodologies, best practices, and service offerings tailored to client needs.
- Deliver excellence by overseeing multiple customer projects, providing technical leadership and ensuring high-quality delivery of Databricks-based solutions.
- Architect complex data processing, analytics, and machine learning solutions using Databricks, Delta Lake, Apache Spark, and MLflow.
- Collaborate strategically with sales teams to develop proposals, scope projects, and articulate the value of Databricks solutions.
- Mentor teams, building a strong technical team with deep expertise in Databricks technologies.
- Drive innovation by staying at the forefront of Databricks advancements, participating in partner programs, and leveraging resources to enhance capabilities.
- Train and educate teams to ensure proficiency in Databricks technologies and best practices.

What We're Looking For

We're searching for a leader with 10+ years of experience in data engineering, 3-5 years of hands-on experience in Databricks, and the following skills:

- Expertise in Databricks, Delta Lake, and Apache Spark.
- Proficiency in Python, Scala, and SQL.
- Strong understanding of cloud platforms (AWS, Azure, GCP) and their integration with Databricks.
- Familiarity with data lakehouse architectures, ETL/ELT processes, and data modeling techniques.
- Leadership abilities: proven track record of managing complex customer engagements and leading teams.
- Certifications: Databricks certifications are highly desirable.
- Additional knowledge: familiarity with machine learning workflows and MLOps practices using MLflow, understanding of data governance, security, and compliance requirements, and experience with Agile methodologies and their application in data engineering projects.

- Excellent communication skills: ability to explain technical concepts to both technical and non-technical stakeholders.

Why Join Us?

This role offers the opportunity to take ownership of a growing Databricks practice, set industry benchmarks, work with the latest Databricks technologies, deliver transformative data solutions, and collaborate with a passionate and innovative team that values knowledge-sharing and growth.

Average salary range for this position: $160,000 - $220,000 per year.

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