TRCI-26-05402

Data Platform Lead

Contract Data Platform Lead needed in Gothenburg (5–10 years) to own and evolve a core data platform from infrastructure-as-code through lakehouse architecture to secure access and operational governance. The role leads the technical “how” of a Databricks-on-AWS platform, covering Terraform ownership, scalable Spark-based data processing, integration patterns (batch, APIs, event-driven), and security/privacy controls (access, auditing, masking) while enabling federated domain teams to deliver data products efficiently.

Apply for this role See all roles

Position summary

Location: Sweden
Workplace: Hybrid
Employment: Contract
Experience: Minimum 5 years and Maximum 10 years

Apply now

Role overview

Why This Role Matters.

Your Impact

Deliver Enterprise Value

Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.

Collaboration

Work Across Teams

Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.

Growth

Learn Continuously

Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.

Career Path

Grow With Ubique

Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.

Responsibilities

What You'll Be Doing.

Every role at Ubique contributes directly to solving meaningful business challenges for our clients.

For our client, we are looking for a Data Platform Lead.

You will also be responsible for day-to-day operations of the platform together with our platform engineers, such as managing access, auditing usage, empowering our federated development teams and developing efficient maintenance processes.

Infrastructure as code codebase owner: Having ownership of our infrastructure as code setup built in Terraform, ensuring best practices for lifecycle management and disaster recovery

Lakehouse & Infrastructure Design: Owning the architecture of our Databricks environment and AWS infrastructure, ensuring secure, efficient, and cost-effective cloud resource utilization.

Integration & Delivery: Designing the integration patterns—from batch processing to fast APIs and event-driven streams—that bridge our analytical platform with high-concurrency telematics applications.

Technical Governance & Access: Designing the unified access control framework and translating business-level privacy policies into practical data masking and security measures.

Structure & Automation: Establishing the overarching structural naming conventions and automated checks that enforce data contracts without creating bottlenecks for our domain teams.

As an individual, we think you are communicative, self-driven, innovative, and like to push boundaries together with your team. And as we strive to have fun at work, humor is appreciated.

As a part of the contract signature, you, the supplier, will also sign a ‘SELF-DECLARATION FORM’ confirming all requested Background Checks are completed. If you/your consultant is selected for the assignment, you are responsible to ensure the background check is completed before signing a contract.

Our client reserves the right to request evidence of completion of these checks according to their expectations for the duration of the contingent worker assignment.

If any deviations or discrepancies occur, the supplier should inform Ework and the candidate should not be moving forward in the procurement process.

Any supplier awarded an assignment with our client needs to, at least, perform checks on

Technology stack

Tools & Technologies.

The platforms and technologies you'll use to build modern, enterprise-grade solutions.

Databricks

Required

AWS

Required

Terraform

Required

Infrastructure as Code

Required

IaC

Required

Lakehouse

Required

Apache Spark

Required

Python

Required

SQL

Required

Access control

Required

Auditing

Required

Data masking

Required

Privacy policies

Required

Batch processing

Required

Event-driven streams

Required

APIs

Required

Serving layer

Required

Disaster recovery

Required

Lifecycle management

Required

Data contracts

Required

Requirements

Skills & Experience.

We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.

Essential

Required Qualifications

Databricks

AWS

Infrastructure as Code (Terraform)

Cloud infrastructure design

Lakehouse/data platform architecture

Apache Spark

Python

SQL

Security (access control, auditing, data masking/privacy)

Platform operations (access management, auditing, maintenance processes)

Preferred

Nice to Have

Event-driven streaming integration patterns

API/serving layer design for high-concurrency applications

Data contracts and automated checks/quality gates

Disaster recovery and lifecycle management best practices

Cost optimization/FinOps for cloud resources

Hybrid cloud experience

Telematics/IoT connected assets context

What you'll gain

More Than Just A Job.

We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.

Global Exposure

Collaborate with international clients and multicultural teams on enterprise programmes.

Continuous Learning

Expand your expertise through mentoring, certifications and hands-on project experience.

Career Growth

Take ownership, develop leadership skills and grow your consulting career over time.

Flexible Working

Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.

People First

Join a supportive culture where collaboration, respect and long-term relationships come first.

Enterprise Projects

Work on meaningful technology initiatives for leading organisations across industries.

Apply

Apply for Data Platform Lead

One page, about two minutes. We only ask for what we actually need to have a first conversation.