Lead Data Architect

Data Architect - Data & Analytics Delivery Practice Lead Fulltime 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 efforts—participating in prospect calls and leading proposal creation with an exceptional success rate. 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. 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. Drive pre-sales activities, including client discovery calls and proposal development, maintaining close to 100% win rate. Architect and implement scalable, cloud-agnostic data solutions using technologies such as Big Data, streaming Platforms Databricks, Snowflake, Redshift, Spark, 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. Collaborate closely with platform engineering, BI, and AI/ML teams to deliver integrated, end-to-end data solutions. Act as a bridge between technical and non-technical stakeholders, translating business needs into technical execution. Drive improvements in data quality, performance, and governance across the data lifecycle. 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. 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. ~ Experience working across cross-functional teams including platform and AI/ML engineering. ~ 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. Exposure to modern data stack tools like dbt, Airflow, and Kafka.