- Maintain a strong focus on stakeholder engagement and satisfaction, ensuring delivery meets or exceeds expectations.

Technology & Market Adaptation :

- Architect and implement scalable, cloud-agnostic data solutions using technologies such as Big Data, streaming Platforms Databricks, Snowflake, Redshift, python, pyspark, Kafka, SQL Server, PostgreSQL on any Cloud ( AWS/Azure/GCP).

- Stay ahead of technology trends in data engineering, cloud computing, and big data platforms to ensure competitive offerings.

- Evaluate and adopt emerging tools and frameworks that enhance productivity, performance, and innovation.

Cross-Functional Collaboration with Global Teams :

- Act as a bridge between technical and non-technical stakeholders, translating business needs into technical execution.

- Promote knowledge sharing and alignment across functional and geographical team boundaries.

Team Leadership and Development :

- Lead, mentor, and develop a high-performing global team of 20+ data professionals across onshore and offshore locations.

- Foster a culture of accountability, innovation, and continuous learning within the data team.

- Establish career development plans and performance metrics to drive individual and team growth that aligns with organizational KPIs.

- Align team structure and skill sets with evolving business and technology needs.

Process Improvement and Reporting :

- Define and continuously refine best practices in Technology frameworks and operational processes.

- Drive improvements in data quality, performance, and governance across the data lifecycle.

- Track team utilization and proactively forecast upcoming bench time, ensuring maximum billing efficiency and planning for resource allocation.

- Achieve and maintain 100% billing utilization by aligning team capacity with project demands.

- Generate and share regular utilization and billing reports with the leadership team to inform resourcing and financial strategies.

- Lead initiatives to automate and streamline data processes, reducing manual effort and increasing delivery speed.

Required Skills and Qualifications :

- 10+ years of experience in Data Engineering and Analytics, with at least 35 years in a leadership role.

- Proven experience managing global teams, both onsite and offshore.

- Strong hands-on technical background in Big Data, streaming Platforms,Databricks/Snowflake/Redshift, Python/PySpark, SQL Server, PostgreSQL, Kafka on any Cloud ( AWS/Azure/GCP), and modern BI tools.

- Demonstrated ability to design and scale data pipelines and architectures in large, complex environments.

- Excellent soft skills including leadership, client communication, and stakeholder management.

- A successful track record of pre-sales engagement and proposal development with high closure rates.

- Strong problem-solving mindset with the ability to think strategically and execute tactically.

Preferred Qualifications :

- Masters or Bachelors degree in Computer Science, Data Science, Engineering, or related field.

- Experience working in consulting or services-based environments.

- Familiarity with governance, data security, and compliance best practices.

Soft Skills :

- Strategic thinking and strong problem-solving abilities.

- Leadership and team mentoring.

- Business-oriented mindset with attention to detail.