Senior Data Lakehouse Technology Delivery Manager_ Contract

Contract Duration: 12 months Seniority: L4 – More than 10 years of relevant experience Working Arrangement: Onsite ( 5 days from office ) Headcount: 1 Role Overview We are seeking a senior Data & Analytics Technology Delivery Manager with extensive experience delivering enterprise Data Lakehouse platforms within complex, regulated environments. The role requires a combination of Data Lakehouse architecture knowledge, data engineering depth and end-to-end technical delivery leadership. Responsibilities • Lead end-to-end delivery of enterprise Data Lakehouse and analytics platforms supporting batch, real-time, BI and AI/ML workloads. • Design and deliver data solutions incorporating Data Lakehouse, Data Mesh and federated data architecture concepts. • Coordinate data ingestion, transformation, integration, data-serving layers, APIs and analytical applications. • Manage technical dependencies across data engineering, application, infrastructure, analytics and security teams. • Drive technical planning, SIT, UAT, performance/security testing, implementation, production cutover and post-production support. • Establish engineering, DataOps/MLOps, CI/CD, security and data-governance standards. • Lead Data Engineers, BI Developers, Data Scientists and ML Engineers. • Manage technical risks, issues and dependencies and provide delivery updates to project and senior stakeholders. • Ensure solutions meet enterprise security, governance, audit and regulatory requirements. Technical Requirements • 10+ years' experience in Data & Analytics technology , including 5+ years in senior technology delivery . • Strong implementation experience with enterprise Data Lakehouse architecture . • Strong experience with Databricks and/or Snowflake , together with Apache Spark . • Experience with Kafka / streaming data integration and batch data-processing architectures. • Strong working knowledge of Python, SQL and enterprise data engineering. • Experience with enterprise data integration technologies such as Informatica or Talend . • Experience with Teradata, Cloudera or equivalent enterprise analytical/data platforms . • Understanding of Data Mesh, data governance, data modelling and federated data architectures . • Exposure to DataOps/MLOps, CI/CD and Kubernetes/OpenShift . • Experience delivering BI/analytics solutions using platforms such as Power BI or Qlik . • Experience delivering data platforms within banking/financial services or another highly regulated environment . • Ability to lead multidisciplinary Data Engineering, BI, Analytics and AI/ML teams. Education Bachelor's degree in Computer Science, Information Technology, Engineering or a related discipline. Relevant Data, Cloud or Enterprise Architecture certifications are advantageous. Interested candidates are kindly requested to email their CV with their experience to sandeep.sringeripai@global.ntt We look forward to your application!