Enterprise Data Architect - Databricks on Azure | Hybrid

TipTopJob; Bewdley; Hybrid; GBP 72,000 - 88,000; Full time

Benefits offered by this job

Bonus Scheme

Hybrid Working

Life Assurance

Cycle to Work Scheme

25 days holiday

Employee Assistance Program

Job summary

TipTopJob in the West Midlands is seeking an Enterprise Data Architect with strong Databricks expertise to take ownership of the in-house data architecture. You will lead the design of data models, data lakes, and data governance while shaping the data roadmap and collaborating with stakeholders.

The role is hybrid, with twice-weekly office presence, and involves migration of customer data to cloud-based servers, Databricks modelling, and setting long-term strategy for data platforms.

Qualifications

• Enterprise level data architecture experience.
• Databricks modelling experience.
• Strong technical authority and leadership.
• Experience with canonical model design patterns.
• Cleansing and ETL experience.
• Creation and design of data systems including best practice standards principles.
• Responsibility for the Data Roadmap.
• Databricks, Data Lakes, Data Visualisation, Enterprise Service Bus (ESB).
• Data Governance and Compliance standards.
• Azure Cloud.
• Excellent stakeholder communication.
• Setting long term strategy.

Responsibilities

• Act as an individual contributor within the team.
• Migration of customer data to newer, cloud-based servers.

Skills

Enterprise level Data Architecture

Databricks Modelling

Technical authority / Leadership

Canonical Model design patterns

Cleansing and ETL

Data systems design and best-practice

Data Roadmap

Databricks, Data Lakes, Data Visualisa

Data Governance and Compliance

Azure Cloud

Stakeholder communication

Long-term strategy setting

Tools

Databricks

Azure Cloud

Job description

TipTopJob in the West Midlands is seeking an Enterprise Data Architect with strong Databricks expertise to take ownership of the in-house data architecture. You will lead the design of data models, data lakes, and data governance while shaping the data roadmap and collaborating with stakeholders.

The role is hybrid, with twice-weekly office presence, and involves migration of customer data to cloud-based servers, Databricks modelling, and setting long-term strategy for data platforms.