As a highly skilled and results-driven Data & Analytics Delivery Practice Lead, you will lead the end-to-end data engineering, Big Data, Streaming, and business intelligence (BI) solutions. Your expertise in Python, cloud infrastructure, and data architecture will be crucial in building scalable, cloud-agnostic data solutions and driving measurable impact through data analytics. You will manage a high-performing data team of 20+ members across onsite and offshore locations, working primarily on Big Data, streaming Platforms like Databricks, Snowflake, Redshift, Spark, Kafka, SQL Server, PostgreSQL on any Cloud (AWS/Azure/GCP). Additionally, you will play a key role in customer interactions, pre-sales efforts, and proposal creation. **Key Responsibilities:**
**Team Leadership and Development:**
Lead, mentor, and develop a high-performing global team of 20+ data professionals. - Foster a culture of accountability, innovation, and continuous learning within the data team. - Establish career development plans and performance metrics for individual and team growth. - Align team structure and skill sets with evolving business and technology needs. - **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 stakeholder engagement and satisfaction, ensuring delivery meets or exceeds expectations. - Drive pre-sales activities, including client discovery calls and proposal development. - **Technology & Market Adaptation:**
Architect and implement scalable, cloud-agnostic data solutions using cutting-edge technologies. - Stay updated with technology trends in data engineering, cloud computing, and big data platforms. - Evaluate and adopt emerging tools and frameworks to enhance productivity, performance, and innovation. - **Cross-Functional Collaboration with Global Teams:**
Collaborate closely with platform engineering, BI, and AI/ML teams to deliver integrated data solutions. - 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. - **Process Improvement and Reporting:**
Define and 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 forecast upcoming bench time for resource allocation. - Lead initiatives to automate and streamline data processes for increased efficiency. **Required Skills and Qualifications:**
10+ years of experience in Data Engineering and Analytics, with at least 35 years in a leadership role. - Proven experience in managing global teams, both onsite and offshore. - Strong hands-on technical background in Big Data, streaming Platforms, and cloud services. - Demonstrated ability to design and scale data pipelines in large, complex environments. - Excellent soft skills including leadership, client communication, and stakeholder management. - Track record in pre-sales engagement and proposal development. **Preferred Qualifications:**
Masters or Bachelors degree in Computer Science, Data Science, Engineering, or related field. - Experience 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. As a highly skilled and results-driven Data & Analytics Delivery Practice Lead, you will lead the end-to-end data engineering, Big Data, Streaming, and business intelligence (BI) solutions. Your expertise in Python, cloud infrastructure, and data architecture will be crucial in building scalable, cloud-agnostic data solutions and driving measurable impact through data analytics. You will manage a high-performing data team of 20+ members across onsite and offshore locations, working primarily on Big Data, streaming Platforms like Databricks, Snowflake, Redshift, Spark, Kafka, SQL Server, PostgreSQL on any Cloud (AWS/Azure/GCP). Additionally, you will play a key role in customer interactions, pre-sales efforts, and proposal creation. **Key Responsibilities:**
**Team Leadership and Development:**
Lead, mentor, and develop a high-performing global team of 20+ data professionals. - Foster a culture of accountability, innovation, and continuous learning within the data team. - Establish career development plans and performance metrics for individual and team growth. - Align team structure and skill sets with evolving business and technology needs. - **Delivery & Customer Focus:**
Serve as the primary point of contact for customers, ensuring successful delivery of data and analytics solutions. - Translate complex customer requi