Senior Data Architect

Ingenium Digital
2 days ago

Role details

Contract type
Temporary contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
£ 177K

Job location

Remote

Tech stack

Java
Amazon Web Services (AWS)
Apache HTTP Server
Architectural Patterns
Data Architecture
Information Engineering
Data Governance
Data Systems
Data Warehousing
Python
PostgreSQL
Metadata
Metadata Repositories
Management of Software Versions
Spark
Data Strategy
Data Lake
Information Technology
Data Lineage
Amazon Web Services (AWS)
Data Management
Data Pipelines
Databricks

Job description

As a Senior Data Architect you will be responsible for defining and driving enterprise data architecture, building scalable data platforms, and ensuring strong data governance, lineage, and security practices. You will collaborate with cross-functional teams to deliver high-quality, performant, and cost-efficient data ecosystems., * Advise on enterprise data strategy, including data lake, data warehouse, data catalog, and multi-tenant architectural patterns.

  • Design end-to-end data governance, data lineage, security, and cost-optimization frameworks.
  • Define schema design principles, cataloging practices, metadata structures, and data lifecycle approaches.
  • Lead the development and continuous evolution of data contracts and schema versioning.
  • Partner with engineering teams to implement scalable, cloud-native data pipelines and analytical platforms.
  • Ensure architectural consistency, compliance, and industry best practices across all data systems.
  • Evaluate modern data tools, frameworks, and technologies to strengthen platform capabilities.

Requirements

Do you have experience in Spark?, Do you have a Master's degree?, * Postgres / Aurora PostgreSQL

  • Apache Iceberg
  • AWS Glue (Jobs & Catalog)
  • Apache Spark
  • Python
  • Trino
  • Hands-on experience with data catalog and metadata tooling

Preferred / Bonus Skills

  • Great Expectations
  • DBT
  • Awareness of Databricks ecosystem
  • Java (optional), * Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or related technical field.
  • Strong architectural background with proven experience designing large-scale data platforms (cloud-native preferred).
  • Certifications in AWS, Data Engineering, or Architecture are a plus.

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