обновлено 12 часов назад
Enterprise Data Architect (Databricks)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Enterprise Data Architect (Databricks): Designing and governing enterprise data architecture for an Azure Data Platform and Databricks Lakehouse with an accent on data modelling, master data management, integration, governance, security, and AI readiness. Focus on optimising Databricks performance and cost, enabling secure external data sharing, embedding GDPR and access-control requirements, and partnering with AI/ML teams on feature engineering, vector search, and enterprise data exposure.
Location: London with flexible hybrid working. Ability to work abroad for up to 3 weeks per year.
Company
delivers outsourced solutions supported by technology and is developing a new technology strategy based on Databricks.
What you will do
- Define and maintain enterprise data architecture, target-state designs, roadmaps, standards, and patterns.
- Own the Databricks Lakehouse architecture, including workspace design, Unity Catalog, medallion architecture, and environment strategy.
- Design secure and scalable data-sharing integrations with external clients and third parties using Delta Sharing, APIs, event streaming, and managed file transfer.
- Lead Master Data Management design, including entity definitions, golden records, match-and-merge rules, stewardship, and reference data management.
- Establish data modelling, governance, quality, lineage, cataloguing, classification, access-control, security, privacy, and regulatory practices.
- Enable AI and ML use cases through discoverable, governed, AI-ready data, including feature engineering, model pipelines, vector search, and safe enterprise-data access.
Requirements
- Deep hands-on proficiency with Databricks, including Unity Catalog, Delta Lake, workflows, and platform administration.
- Experience with Databricks Delta Sharing and secure external data-integration patterns.
- Strong experience designing and implementing Master Data Management solutions and enterprise data models.
- Expertise in Databricks performance and cost optimisation, plus solid Azure storage, networking, and identity knowledge.
- Experience with data governance, Microsoft Purview or similar tools, data quality, metadata, and lineage.
- Strong SQL and working knowledge of Python and/or Spark, with understanding of encryption, RBAC/ABAC, masking, GDPR, and other privacy requirements.
Culture & Benefits
- Diverse and inclusive workplace with close collaboration between colleagues and clients.
- Training in relevant technical knowledge and support for professional qualifications.
- Discretionary bonus scheme and generous holiday allowance.
- Pension scheme, private medical insurance, life assurance, and worldwide travel insurance.
- Health and wellbeing programmes and on-site parking.
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