Job Description

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.