Reporting To: CEO
End Customers: USA & Europe
Domains (End Clients): Energy & Utilities (Power, Utilities, Renewables, Smart Grid)
OR Automotive / Transportation (OEMs, Tier-1 Suppliers, Mobility, Logistics)
Location: Bangalore (Hybrid)
Employment Type: Full-Time
About The Role
We are seeking a strategic and hands-on
Practice Head / Director – Data Engineering (+ Analytics + ADMS) to build and scale our Data Engineering, Analytics, and Application Development & Maintenance Services (ADMS) practice. The role requires strong leadership combined with deep technical expertise in modern data platforms, cloud, and digital engineering, with a proven track record of delivering large-scale solutions for international clients.
The ideal candidate will bring
18–24 years of experience across Data Engineering, Analytics, Cloud, and ADMS, with strong exposure to
Energy & Utilities or Automotive / Transportation domains. This role combines
delivery ownership, presales leadership, and P&L responsibility, reporting directly to the CEO.
The leader is expected to grow the practice into a large, sustainable business over
2–3 years, aligned with the organization's strategic goals, culture, and values.
Key Responsibilities
- Technology & Data Leadership
- Lead Data Engineering, Analytics, and ADMS solutions for global clients.
- Guide architecture and delivery of:
- Data pipelines (ETL/ELT), data lakes, data warehouses
- Analytics, dashboards, and reporting
- Exposure to AI/ML and advanced analytics is an advantage
- Strong understanding of Python, SQL, Java/Scala and modern data frameworks.
- Hands-on knowledge of Cloud Data Platforms on AWS / Azure / GCP.
- Promote best practices such as Agile, CI/CD, DevOps, and DataOps.
- Delivery Leadership
- Own end-to-end delivery of Data Engineering, Analytics, and ADMS programs.
- Manage large offshore and onsite teams across geographies.
- Ensure quality delivery, SLA adherence, security, and business outcomes.
- Establish delivery governance, reporting, and client communication.
- Apply estimation techniques and continuous improvement practices.
- Practice & Capability Development
- Build and scale Data Engineering & Analytics capabilities.
- Define reusable frameworks, accelerators, and best practices.
- Upskill teams on data platforms, cloud-native engineering, and analytics.
- Standardize delivery processes and documentation.
- People & Talent Leadership
- Drive hiring and capability building for Data Engineering and Analytics teams.
- Develop strong delivery and technical leaders.
- Own performance management, learning, and team development.
- Mentor and coach senior team members.
Key Requirements
- 15–20 years of progressive IT experience, with a strong foundation in Data Engineering, Analytics, and ADMS.
- Proven experience growing practices from mid-size to large-scale delivery organizations.
- Strong domain expertise in Energy & Utilities or Automotive / Transportation.
- Hands-on technical background in:
- Languages: Python, SQL, Java/Scala
- Data Engineering: ETL/ELT, Data Lakes, Data Warehouses, Streaming
- Cloud Platforms: AWS / Azure / GCP
- Analytics & BI: dashboards, reporting, KPIs
- Experience managing large global delivery teams and multiple client engagements.
- Strong presales, client management, and stakeholder engagement skills.
- High energy, result-oriented, and growth-focused mindset.
Preferred Certifications
- Cloud Certifications (AWS / Azure / GCP)
- Data & Analytics Certifications (Snowflake, Databricks, BigQuery, Synapse – preferred)
- PMP / PRINCE2 / ITIL / Agile / SAFe
Key Attributes
- Proven leadership in Delivery, Client Management, and Practice Growth.
- Strong people leadership with mentoring and coaching capabilities.
- Ability to manage distributed teams across India, USA, and Europe.
- Excellent communication (verbal & written) and executive-level reporting skills.
- Strategic thinker with strong execution focus.
Education & Experience
- Bachelor's degree in Computer Science, Information Technology, Electronics & Communication, or related field.
- Experience: 15–20 years (role dependent: Manager / Director / Sr. Director).
