Data Tech Lead

Data Tech Lead

Are you ready to take ownership of building cutting-edge data ecosystems and leading high-performing teams? We're looking for a Data Tech Lead to drive end-to-end delivery across architecture, engineering, governance, and capability development. This is a strategic leadership role where you'll shape the future of data platforms and enable data-driven innovation at scale.

Lead the architecture, design, and delivery of modern data platforms across cloud and on-prem environments. Build scalable, high-performance data solutions that unlock business value. Drive data governance, metadata management, and data modelling best practices. Partner with cross-functional teams to deliver end-to-end data initiatives. Champion cost optimisation, performance tuning, and agile delivery. Engage senior stakeholders, influence decisions, and represent data strategy with clarity.

Define and deliver data product roadmaps aligned to business goals. Provide technical leadership, ensuring adherence to best practices and standards. Drive long-term data engineering and architecture strategy.

Lead data architecture and modelling (e.g. SAP Power Designer, BiZ Design). Build and optimise AI-augmented data pipelines using:
Azure Data Factory (ADF), ADLS, Databricks, Delta Live Tables, Structured Streaming. Design robust OLTP systems (schema design, indexing, performance tuning). Work across PostgreSQL, MySQL, SQL Server. Implement governance, security, and lineage using Unity Catalog. Troubleshoot pipelines and enforce data quality and SLAs.

Establish frameworks for data security, privacy, and lifecycle management. Drive CI/CD and automated deployment practices. Monitor and optimise pipeline performance.

Collaborate with Product Managers, Business Analysts, Data Scientists, and Architects. Translate complex technical concepts into clear business outcomes. Build alignment and resolve challenges across stakeholders.

12–17 years in data engineering, architecture, or analytics platforms. Deep experience with:
Azure (ADF, ADLS, Databricks, DLT, Azure Functions, Logic Apps) SQL, Python, Spark / Scala.

Strong background in data modelling and architecture frameworks. Experience with CI/CD (Azure Dev Ops, Git Hub Actions). Knowledge of Docker, Kubernetes basics, API gateways, and load balancing.

Exposure to AI/ML, GenAI, Agentic AI. Passion for building future-ready, scalable data ecosystems.

Proven experience leading medium to large technical teams. Strong decision-making and problem-solving ability. Excellent communication and stakeholder management skills. Ability to operate independently with high ownership and accountability. Adaptable, with a continuous learning mindset.

Experience with Kafka, Hadoop, Spark Streaming. Workflow orchestration tools (Airflow, Luigi, Azkaban). BI tools like Power BI or Qlik Sense. Certifications in Azure, Databricks, or AI/ML. Exposure to logistics, trading, or freight-related domains.