Data Architect
Summary
Designs and evolves a Databricks-based data platform architecture — lakehouse design, Spark/Delta Lake ETL/ELT pipelines, data governance and access control — while owning architectural decisions and guiding engineering teams through implementation. Core stack: Databricks, Apache Spark, Delta Lake, SQL, Python/PySpark, Unity Catalog.
- Define and evolve data platform architecture using Databricks
- Translate business and analytics requirements into scalable data models and integration designs
- Design lakehouse architecture and ETL/ELT solutions based on Spark and Delta Lake
- Establish standards for ingestion, transformation, data quality, governance, and access control
- Own architectural decisions and guide engineering teams through implementation, reviewing architectural decisions along the way
- Assess trade-offs across scalability, performance, maintainability, and cost
- Explain technical concepts to non-technical stakeholders and translate business needs into technical solutions
- Proven experience as a Data Architect
- Practical hands-on expertise with Databricks
- Experience with lakehouse architecture, Apache Spark, and Delta Lake
- Strong knowledge of data modeling and ETL/ELT design
- Strong SQL and Python/PySpark skills
- Experience with data governance, security, data quality, and lineage (Unity Catalog is a plus)
- Ability to own architectural decisions and guide implementation
- Ability to translate business needs into technical solutions and communicate technical concepts to non-technical stakeholders
- English level B2
- Experience with Unity Catalog
- Cloud provider certifications (Azure, AWS, or GCP) and Databricks certifications
Vention is a global engineering partner to tech leaders and fast-growing startups, combining 20+ years of product development expertise with an AI-first approach and a reputation for reliable delivery.
With 150+ data engineers and over 20 years of experience, we help startups and enterprises turn data into smart decisions and better user experiences. Our teams work with Python, Java, Scala, and R to build scalable data pipelines and infrastructure that power real results.
- EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
- Licenses for AI tools: GitHub Copilot, Cursor, and others
- 24 working days of vacation per year
- Expanded medical insurance
- Corporate getaways & team building activities
- Fitpass sport program
- Support for significant life events
- Access to discounts across a variety of stores, restaurants & cafes through a corporate discount program
- Referral bonuses for bringing in new talent