Lead Data Architect

Virta Ltd

. Own Virta’s existing data platform and determine what stays, changes, and comes next .

Posted 10/19/2026full-timeHelsinki • FinlandSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data architecture and engineering, with a strong focus on Snowflake, SQL, and Python. Proven ability to lead and develop a data team while ensuring effective data governance and collaboration across business units.

Highest-signal resume keywords

Data Architecture OwnershipSnowflake ExpertiseTeam LeadershipDimensional Modeling SkillsData Governance Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ArchitectureSQLPythonDimensional ModelingData GovernanceData ContractsData Quality MonitoringData ModelingData Transformation

Soft Skills

CollaborationCommunicationTeam DevelopmentMatrix ManagementData Literacy Training

Tools & Technologies

SnowflakeDbtAI ToolsOrchestration ToolingData Warehousing

Industry Keywords

Data GovernanceData OwnershipData Modeling StandardsEmbedded Product AnalyticsCommercial Relationships

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Own Virta’s existing data platform and determine what stays, changes, and comes next
Report to the VP of Engineering
Set the target architecture, warehouse layers, modeling standards, and ingestion patterns
Create one shared model for core business entities, including customers, legal entities, contracts, and commercial relationships
Lead data-modeling decisions across the company with domain teams
Design governance for data ownership, definitions, quality, and access
Write reference implementations, critical-domain dbt models, data contracts, and reusable patterns
Shape the semantic layer for embedded product analytics and internal reporting
Define roles and structure and build a data team of 3–5 people from internal talent and new hires within the first 12 months
Lead the data team as it grows
Advise product, engineering, and business teams on data design and usage
Run data-literacy training
Partner on data-heavy initiatives and support architecture due diligence for integrations and acquisitions

Requirements

What you’ll need

8+ years in data engineering or data architecture
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 a matrix and translate business reality into data structures
Deep, current Snowflake expertise, including modeling, performance, cost management, security, and access design
Strong dimensional and domain modeling skills
Experience harmonizing an established data model across multiple systems
Production-level SQL and Python, or another language of choice for data work
Continues to write code weekly
Experience with modern transformation and orchestration tooling
Experience designing practical data governance, including ownership models, data contracts, and quality monitoring
Competence using AI tools with judgment about where they help and where they do not
Strong English communication skills
Hybrid from Helsinki preferred; remote possible within the company’s European operating countries

Benefits

Comp & perks

Real ownership of the data platform and architecture decisions
Opportunity to build and lead a data team of 3–5 people
Opportunity to work at the intersection of mobility and energy
Work on the European EV charging market, including smart charging and energy flexibility
Hybrid working arrangement
Remote work possible within the company’s European operating countries
Professional impact on architecture, team structure, governance, and company-wide data usage