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Est. expiry Nov 22

Lead Data Architect

Data Architect

Posted Oct 18 (2 days ago) · Last updated Oct 20 · Open 2 days. This role usually stays open about 17 days

Key facts

Lead Virta’s data platform from Helsinki; requires 8+ years in data engineering or architecture.

How this salary compares

Estimated €4,704 - €5,973Benchmarked against senior roles

Too few postings state a salary to show this.

Monthly salary comparison for Data Architect
MarketLower bound (25th percentile)MedianUpper bound (75th percentile)
senior roles€5,000 per month€6,400 per month€9,000 per month
This offer€4,704 per month€5,339 per month€5,973 per month

Estimated from 4,621 comparable listings

Est. take-home €3,280 - €3,906

Where and how
HelsinkiHybridSenior
Languages required
English
Experience
8 years experience
Managing people
People Manager

Original job ad

As published by Virta Ltd

Open the ad
Liikennevirta is seeking for a Lead Data Architect who will own Virta's data platform and report to the VP of Engineering. This is not a greenfield: Snowflake and several other data platforms are already in place, built up over years of fast growth. Your job is to take ownership of what exists, decide what stays and what changes, and set the direction for what comes next. The first priority is one shared model for core business entities, such as customers, legal entities, and commercial relationships, used consistently across our systems. You will lead the key decisions on how data is modeled across the company, working closely with the domain teams that own our operational systems. In short, you will build the foundation for how we scale. This is a hands-on role that combines architecture and leadership. You will start as an individual contributor, building parts of the platform yourself, proving patterns with working code, and reviewing implementations in detail. If you are looking for a role that produces diagrams and delegates the rest, this is not it. Within your first 12 months, you will define the roles we need and form a data team of 3–5 people, bringing together colleagues who already work with our data and new hires. You will lead the decisions on how the team is shaped, and lead it as it grows. What You'll Do - Own the target architecture: Set warehouse layers, modeling standards, and ingestion patterns for domain teams to build on. - Harmonize the core entity model: Unify organizations, legal entities, contracts, and commercial relationships across operational and analytical systems. - Make data trustworthy: Design governance for data ownership, definitions, quality, and access. - Build hands-on: Write reference implementations, critical-domain dbt models, data contracts, and reusable patterns. - Own the semantic layer: Shape the layer feeding our BI, from embedded product analytics to internal reporting. - Build the data team: Define roles and structure, build the team from internal talent and new hires, and lead it as it grows. - Be the internal data authority: Advise product, engineering, and business teams on data design and use, and run data-literacy training. - Partner across the company: Work with product and engineering on data-heavy initiatives and support architecture due diligence for integrations and acquisitions. What We're Looking For - 8+ years in data engineering or data architecture, with at least 3 years owning architecture decisions that others built on. - Proven track record in team leadership and developing talents. - Proven ability to collaborate in matrix and translate business reality into data structures. - Deep, current Snowflake expertise: modeling, performance, cost management, security, and access design. - Strong dimensional and domain modeling skills. You have harmonized an established data model across multiple systems before and can describe how you approached it. - Production-level SQL and Python, or another language of your choice for data work. You still write code weekly and expect to keep doing so. - Experience with modern transformation, orchestration tooling, designing governance that works in practice: ownership models, data contracts, quality monitoring. - Competence using AI tools in your own work, with judgment about where they help and where they don't. - Strong English communication skills. Hybrid from Helsinki preferred; remote possible within our European operating countries. Why Join Us Founding roles like this are rare. You will build Virta's data foundation: the architecture, the team, and the way the company uses data. All on a platform that sits at the intersection of mobility and energy. Real ownership: you own the data platform, report to the VP of Engineering, and lead the decisions that shape how we scale across markets. The EV charging market in Europe is regulated, fast-moving, and data-hungry: smart charging, energy flexibility, and new regulatory regimes all depend on the foundation you will design. Ready to build what's next? Please submit your application and help us build the data foundation for the future of electric mobility. We review applications on a rolling basis and will start as soon as we find the right person. Don't wait, apply now.

This is the employer's own ad. Pay, requirements and the other details on this page are our reading of it, not facts the employer confirmed.

About the role

Summarised by JobCrawls from the job ad above.

Requirements

  • 8+ years in data engineering or data architecture
  • At least 3 years owning architecture decisions used by others
  • Team leadership and talent development experience
  • Ability to collaborate in a matrix organisation and translate business needs into data structures
  • Deep, current Snowflake expertise
  • Strong dimensional and domain modelling skills, including harmonising models across systems
  • Production-level SQL and Python, or another data-work programming language; writes code weekly
  • Experience with modern transformation and orchestration tools
  • Practical data governance experience, including ownership, contracts and quality monitoring
  • Judicious use of AI tools
  • Strong English communication skills

Responsibilities

  • Own and set the direction for Virta’s existing data platform
  • Define warehouse layers, modelling standards and ingestion patterns
  • Harmonise core business entities across operational and analytical systems
  • Design governance for data ownership, definitions, quality and access
  • Build reference implementations, dbt models, data contracts and reusable patterns
  • Own the semantic layer feeding BI and reporting
  • Form and lead a data team of 3–5 people
  • Advise teams and run data-literacy training
  • Partner on data-heavy initiatives and support architecture due diligence for integrations and acquisitions

Skills & technologies

SnowflakeSQLPythonDbtDimensional ModellingDomain ModellingData GovernanceData ContractsData Quality MonitoringData OrchestrationData TransformationAI ToolsBISemantic Layer

Benefits & perks

Recruitment process

  1. Applications are reviewed on a rolling basis
  2. The process starts when a suitable candidate is found

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About Virta Ltd

Virta Ltd logo
Virta Ltd · 2 open roles
Top locations (all time): Helsinki, Finland · 17 · Helsinki, FI · 3 · Berlin, Germany · 2 · +7 other locations
View company
Current open roles at Virta Ltd on JobCrawls
LocationActive listings
Helsinki, Finland17
Helsinki, FI3
Berlin, Germany2
Paris, France2
Remote - Finland2
Stockholm, Sweden2
Remote - Global2
Remote - Sweden1
Remote - Germany1
Remote - France1
Current role mix at Virta Ltd on JobCrawls
Role typeActive listings
Backend Software Engineer2
Senior Software Engineer2
Technical Support Specialist2
Android Developer1
Customer Delivery Specialist1
Sales Operations Specialist1
Software Developer, Pricing1
Finance1
Engineering Manager1
Sales Executive1
HR Manager1
Support Manager1
Executive Assistant1
Solution Consultant1
Engineer1
Legal Trainee1
Data Architect1
Head of Product1
Software Engineer1
Frontend Software Engineer1
Current role-level mix at Virta Ltd on JobCrawls
Role levelActive listings
Senior9
Mid-Level6
Manager5
Director1
Executive1
Intern1

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