Sr Data Engineer

Job Title: Sr/Lead Data Engineer

Location: Bangalore, Coimbatore.

Experience Looking for : min 8+ Years

Job Type: Full-time (Work from office 5 days a week)

This is more focused on Customer facing with Delivering the Solutions with Key Data Engineering Skills.

Key Responsibilities:

Delivery & Customer Focus:

• Serve as the primary point of contact for customers, ensuring successful delivery of data and analytics solutions.
• Translate complex customer requirements into scalable, high-impact data solutions.
• 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 3–5 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:

• Master's or Bachelor's 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

Please share your profile if you are interested or share and help some other person to get this opportunity. My mail id:

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