Director / Sr. Director / Manager – Data Engineering (+ Analytics + ADMS)
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
1. Technology & Data Leadership
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Lead Data Engineering, Analytics, and ADMS solutions for global clients.
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Guide architecture and delivery of:
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Data pipelines (ETL/ELT), data lakes, data warehouses
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Analytics, dashboards, and reporting
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Exposure to AI/ML and advanced analytics is an advantage
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Strong understanding of Python, SQL, Java/Scala and modern data frameworks.
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Hands-on knowledge of Cloud Data Platforms on AWS / Azure / GCP.
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Promote best practices such as Agile, CI/CD, DevOps, and DataOps.
2. Delivery Leadership
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Own end-to-end delivery of Data Engineering, Analytics, and ADMS programs.
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Manage large offshore and onsite teams across geographies.
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Ensure quality delivery, SLA adherence, security, and business outcomes.
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Establish delivery governance, reporting, and client communication.
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Apply estimation techniques and continuous improvement practices.
3. Practice & Capability Development
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Build and scale Data Engineering & Analytics capabilities.
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Define reusable frameworks, accelerators, and best practices.
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Upskill teams on data platforms, cloud-native engineering, and analytics.
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Standardize delivery processes and documentation.
4. People & Talent Leadership
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Drive hiring and capability building for Data Engineering and Analytics teams.
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Develop strong delivery and technical leaders.
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Own performance management, learning, and team development.
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Mentor and coach senior team members.
Key Requirements
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15–20 years of progressive IT experience, with a strong foundation in Data Engineering, Analytics, and ADMS.
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Proven experience growing practices from mid-size to large-scale delivery organizations.
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Strong domain expertise in Energy & Utilities or Automotive / Transportation.
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Hands-on technical background in:
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Languages: Python, SQL, Java/Scala
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Data Engineering: ETL/ELT, Data Lakes, Data Warehouses, Streaming
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Cloud Platforms: AWS / Azure / GCP
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Analytics & BI: dashboards, reporting, KPIs
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Experience managing large global delivery teams and multiple client engagements.
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Strong presales, client management, and stakeholder engagement skills.
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High energy, result-oriented, and growth-focused mindset.
Preferred Certifications
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Cloud Certifications (AWS / Azure / GCP)
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Data & Analytics Certifications (Snowflake, Databricks, BigQuery, Synapse – preferred)
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PMP / PRINCE2 / ITIL / Agile / SAFe
Key Attributes
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Proven leadership in Delivery, Client Management, and Practice Growth.
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Strong people leadership with mentoring and coaching capabilities.
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Ability to manage distributed teams across India, USA, and Europe.
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Excellent communication (verbal & written) and executive-level reporting skills.
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Strategic thinker with strong execution focus.
Education & Experience
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Bachelor’s degree in Computer Science, Information Technology, Electronics & Communication, or related field.
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Experience: 15–20 years (role dependent: Manager / Director / Sr. Director).
