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 [email protected]
We look forward to your application!