Data Engineering Head

Pune - India

Monthly Salary: Not Disclosed

Posted on: 11 hours ago

Vacancies: 1 Vacancy

Job Summary

Responsibilities:

Strategic Growth & P&L: Define and execute the Data & AI practice strategy identifying new market opportunities and expanding capabilities. Lead business development including pre-sales and solutioning. Manage practice P&L focusing on revenue recognition and profitability.
Deep Data & AI Expertise: Provide expert guidance in data engineering (architecture warehousing ETL/ELT data lakes pipelines governance). Stay current with AI/ML big data and cloud platforms (AWS Azure GCP). Oversee the design and implementation of scalable secure data solutions.
Innovation & Emerging Tech: Actively explore and champion cutting-edge data and AI especially Agentic AI-based automation. Drive R&D to integrate new technologies and foster an innovation culture.
Partnership Development: Establish and nurture strategic partnerships with vendors and industry groups. Collaborate on joint solutions and go-to-market strategies. Represent the company at industry events.
Delivery Excellence: Accountable for the successful delivery of all Data & AI projects ensuring on-time on-budget high-quality execution. Implement robust project management and continuously improve delivery processes.
Team Leadership: Build mentor and lead a high-performing team of data engineers data scientists and AI specialists. Foster a culture of learning and collaboration implementing effective performance management.

Qualifications:

20 years in data engineering significant time in leadership.
Proven experience designing and managing large-scale modern architecture data platforms.
Strong grasp of AI/ML concepts and business applications.
Track record of managing revenue recognition and profitability.
Exceptional skills in developing and managing strategic partnerships.
Extensive experience with cloud data platforms (AWS Azure GCP).
Demonstrated interest and exposure to emerging AI including Agentic AI and advanced automation.
Proficiency in Spark Databricks databases (SQL NoSQL) data warehousing (Snowflake Redshift Big Query) ETL/ELT and data Quality and governance.
Excellent leadership communication and interpersonal skills.
Strong analytical problem-solving and strategic thinking.
Bachelors or masters in computer science Engineering or related field. MBA is a plus.

Responsibilities: Strategic Growth & P&L: Define and execute the Data & AI practice strategy identifying new market opportunities and expanding capabilities. Lead business development including pre-sales and solutioning. Manage practice P&L focusing on revenue recognition and profitability. ...

Responsibilities:

Strategic Growth & P&L: Define and execute the Data & AI practice strategy identifying new market opportunities and expanding capabilities. Lead business development including pre-sales and solutioning. Manage practice P&L focusing on revenue recognition and profitability.
Deep Data & AI Expertise: Provide expert guidance in data engineering (architecture warehousing ETL/ELT data lakes pipelines governance). Stay current with AI/ML big data and cloud platforms (AWS Azure GCP). Oversee the design and implementation of scalable secure data solutions.
Innovation & Emerging Tech: Actively explore and champion cutting-edge data and AI especially Agentic AI-based automation. Drive R&D to integrate new technologies and foster an innovation culture.
Partnership Development: Establish and nurture strategic partnerships with vendors and industry groups. Collaborate on joint solutions and go-to-market strategies. Represent the company at industry events.
Delivery Excellence: Accountable for the successful delivery of all Data & AI projects ensuring on-time on-budget high-quality execution. Implement robust project management and continuously improve delivery processes.
Team Leadership: Build mentor and lead a high-performing team of data engineers data scientists and AI specialists. Foster a culture of learning and collaboration implementing effective performance management.

Qualifications:

20 years in data engineering significant time in leadership.
Proven experience designing and managing large-scale modern architecture data platforms.
Strong grasp of AI/ML concepts and business applications.
Track record of managing revenue recognition and profitability.
Exceptional skills in developing and managing strategic partnerships.
Extensive experience with cloud data platforms (AWS Azure GCP).
Demonstrated interest and exposure to emerging AI including Agentic AI and advanced automation.
Proficiency in Spark Databricks databases (SQL NoSQL) data warehousing (Snowflake Redshift Big Query) ETL/ELT and data Quality and governance.
Excellent leadership communication and interpersonal skills.
Strong analytical problem-solving and strategic thinking.
Bachelors or masters in computer science Engineering or related field. MBA is a plus.