Lead Databricks Architect for Enterprise Data Modernization

Jobgether

Netherlands

On-site

EUR 120,000 - 180,000

Full time

8 days ago

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Benefits offered by this job

100% remote position

Work from Poland

Enterprise data modernization program

Job summary

Jobgether seeks a Senior Solutions Architect (Databricks Specialist) for a Netherlands-based engagement with a 100% remote setup from Poland. You will lead the transition from traditional Microsoft ecosystems to a modern Databricks-based data platform, shaping target-state architecture and governance for a major data modernization program in a highly regulated financial services sector.

You will collaborate with Data Engineering teams, align with AI/ML initiatives, and advise executives on

Qualifications

10+ years in solution/enterprise/data architecture or senior roles.
Experience designing and optimizing Databricks solutions in enterprise environments.
Knowledge of Data Lakehouse architectures and cloud data ecosystems.
Understanding of governance, security, compliance, and risk management.
Proven track record delivering large-scale data modernization and cloud migration.

Responsibilities

Provide strategic leadership for Databricks adoption and data modernization initiatives.
Define scalable, secure data and analytics architectures aligned with AI and business goals.
Establish governance, design patterns, and best practices for Databricks.
Guide Data Engineering on architecture, performance, security, and implementation decisions.
Assess SQL Server/Microsoft-centric environments and plan migrations to Databricks.
Design target architectures supporting analytics, AI, and ML use cases.
Evaluate platform investments to improve cost efficiency and ROI.
Set architecture reviews, roadmaps, and governance across the program.
Advise executives on technology directions, opportunities, risks, and priorities.
Collaborate with stakeholders, engineering, vendors to drive delivery.
Ensure designs meet enterprise architecture principles and regulatory obligations.
Identify risks early and develop mitigation strategies.
Mentor teams to promote architectural excellence and data platform best practices.