Lead Data Engineer

ELLIOTT MOSS CONSULTING PTE. LTD.

Penarth, High Street

In loco

GBP 90.000 - 140.000

Tempo pieno

7 giorni fa
Candidati tra i primi
Generatore di candidature

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Descrizione del lavoro

Elliott Moss Consulting Pte. Ltd. in the United Kingdom is seeking an experienced Databricks Architect / Lead Data Engineer to design, build, and deliver enterprise-scale data platforms on Databricks and AWS.

You will own the lakehouse architecture, develop scalable data pipelines, and enable AI/ML workloads, including Generative AI use cases, while ensuring governance and security across the data ecosystem.

Competenze

  • Experience designing Databricks Lakehouse architectures on AWS.
  • Hands-on engineering with data pipelines using Python, PySpark, SQL and Delta Lake.
  • Experience enabling AI/ML/Generative AI workloads on Databricks and integrating with AWS services.

Mansioni

  • Design and own Databricks Lakehouse architecture on AWS; mentor data engineers.
  • Build and optimize data pipelines using Python, PySpark, SQL, and Delta Lake; implement Medallion Architecture.
  • Develop batch, streaming, and near real-time data solutions; enable AI/ML workloads on Databricks.
  • Establish governance, security, Unity Catalog, RBAC, and operational controls; integrate with AWS data platforms.
  • Drive CI/CD, automated testing, deployment automation, and observability.
  • Troubleshoot Spark workloads for performance, reliability, and cost.
  • Deliver AI/ML or Generative AI solutions on Databricks and AWS.

Conoscenze

Databricks
AWS
Python
PySpark
SQL
Delta Lake
Medallion Architecture
AI/ML
Generative AI
Governance
Unity Catalog
RBAC
CI/CD
Observability
Spark tuning

Strumenti

S3
IAM

Descrizione del lavoro

Job Description

We are seeking an experienced Databricks Architect / Lead Data Engineer to lead the design, development, and delivery of enterprise-scale data platforms on Databricks and AWS.

The role combines architecture leadership with hands-on engineering responsibilities, including building scalable Lakehouse solutions, modern data pipelines, and AI/ML workloads.

Key Responsibilities
  • Design and own Databricks Lakehouse architecture on AWS. Lead multiple Databricks initiatives and mentor data engineers.
  • Build and optimize data pipelines using Python, PySpark, SQL, and Delta Lake. Implement Medallion Architecture (Bronze, Silver, Gold layers).
  • Develop batch, streaming, and near real-time data solutions. Enable AI/ML and Generative AI use cases on Databricks.
  • Establish governance, security, Unity Catalog, RBAC, and operational controls. Integrate Databricks with AWS services including S3, IAM, networking, and data platforms.
  • Drive CI/CD, automated testing, deployment automation, and observability.
  • Troubleshoot and optimize Spark workloads for performance, reliability, and cost. Required Experience In Data Engineering experience.
  • And hands-on Databricks experience. as a Databricks Architect or equivalent architecture role.
  • delivering AI/ML or Generative AI solutions on Databricks. and AWS experience.
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