We are seeking a highly skilled and results-driven Data & Analytics Delivery Practice Lead to lead our end-to-end data engineering, Big Data, Streaming and business intelligence (BI) solutions. This is a key leadership role for someone who thrives on building scalable, cloud-agnostic data solutions and driving measurable impact through data analytics.

You will be responsible for managing a high-performing data team of 20+ members across onsite and offshore locations, primarily working on any Big Data, streaming Platforms Databricks, Snowflake, Redshift, Spark, Kafka, SQL Server, PostgreSQL on any Cloud ( AWS/Azure/GCP). Your expertise in Python, cloud infrastructure, and data architecture will be instrumental in creating intelligent and efficient data pipelines and products.

In addition to delivery excellence, you will serve as the primary customer contact for ongoing engagements and play an active role in pre-sales effortsparticipating in prospect calls and leading proposal creation with an exceptional success rate.

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, Spark, Kafka, SQL Server, PostgreSQL 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.

- Experience working across cross-functional teams including platform and AI/ML engineering.

- 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.

- Exposure to modern data stack tools like dbt, Airflow, and Kafka.