Practice Lead – Data Engineering (Snowflake/Databricks)
Systango Technologies Limited (company site, opens in a new tab)13–18 yrsIndoreOn-siteDirect career pageEst. 30–50 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and lead the Data Engineering practice focused on Snowflake, Databricks, and modern cloud data platforms, defining strategy and driving capability development.
- Own client accounts including relationship management, delivery excellence, and identifying growth opportunities.
- Provide hands-on technical leadership for enterprise-grade data platforms, establishing standards, guiding architecture, and overseeing delivery across multiple projects.
Minimum Requirements
- 13–18 years of experience in data engineering, data architecture, or enterprise data platform delivery.
- Proven leadership experience managing data engineering teams or practices.
- Hands-on expertise in Snowflake and Databricks, including production-scale implementations and architecture decisions.
- Must hold at least one valid Snowflake or Databricks certification.
Ideal Candidate Profile
- Experienced leader capable of combining deep technical architecture skills with client consulting and business acumen to grow a data engineering practice.
- Strong operational focus on delivery excellence, establishing engineering standards, and driving team development in consulting or IT services environments.
- Demonstrated ability to manage complex, large-scale data engineering solutions involving cloud-native platforms and modern architectures (lakehouses, medallion architecture) with a focus on client satisfaction and practice growth.