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 1824 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 23 years, aligned with the organizations 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 :

1. Data pipelines (ETL/ELT), data lakes, data warehouses.

2. 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 :

1. Languages : Python, SQL, Java/Scala.

2. Data Engineering : ETL/ELT, Data Lakes, Data Warehouses, Streaming.

3. Cloud Platforms : AWS / Azure / GCP.

4. 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 :

- Bachelors degree in Computer Science, Information Technology, Electronics & Communication, or related field.

- Experience : 15- 20 years (role dependent : Manager / Director / Sr. Director).