Remote Data Architect — Lakehouse, AI & Governance

United States Digital Space LLC; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

United States Digital Space LLC is seeking a Data Architect to own the data architecture across our growing data organisation, partnering with Data Engineering, BI and AI teams to drive roadmaps and ensure scalable data models. You will document structures, models and data contracts for products and analytics.

This fully remote, Romania-based role requires 8+ years in data roles, strong SQL, and expertise in lakehouse, vector data, and analytical serving tools like Druid, Superset, and Power BI.

Qualifications

• 8+ years of commercial experience in data engineering, BI engineering or data architecture roles, with significant time spent on modelling and specification.
• Demonstrable experience owning data architecture across multiple workloads — operational, analytical, lakehouse and (ideally) AI / vector.
• Deep data-modelling expertise — conceptual, logical and physical; dimensional / star-schema; SCD; data contracts; semantic-layer design.
• Strong SQL across multiple dialects; comfortable reading and reasoning about complex source-system schemas.
• Proven ability to reverse-engineer SaaS / operational systems — discovering grain, primary keys, relationships, soft-delete patterns and quirks that aren't in the docs.

Responsibilities

• Own the data architecture across the company's data organisation — operational, lakehouse, analytical-serving and vector layers.
• Lead the discovery, documentation and specification of the data structures and models required to support product and analytics roadmaps.
• Reverse-engineer source data from the company SaaS products — building accurate logical models of upstream systems and identifying the data contracts, grain and semantics our pipelines depend on.
• Design the right data store for each use case — choosing between OLTP, columnar / OLAP, lakehouse and vector approaches; making the trade-offs explicit.
• Define and maintain conceptual, logical and physical data models; produce clear ERDs, lineage and dimensional designs (star / snowflake, conformed dimensions, surrogate keys).
• Establish and enforce modelling standards, naming conventions, data contracts and schema-evolution practices across teams.
• Partner with the Data Team Lead, BI Team Lead and AI Team Lead — translating product and analytics needs into specifications their engineers can build from, and unblocking architectural decisions as they arise.
• Collaborate with Product, Architecture and Engineering Team Leads to align data direction with the wider engineering strategy.
• Champion data governance — cataloguing, lineage, ownership, quality, security and privacy.
• Document architectural decisions (ADRs) so the why is preserved alongside the what.
• Mentor engineers across the data organisation on modelling, design and architectural reasoning — without line-managing them.
• Stay current with the data landscape and bring in proven techniques as they mature; foster a culture of continuous improvement, innovation and knowledge sharing.

Skills

Data modelling

SQL proficiency

Reverse engineering

Data governance

Stakeholder skills

Analytical thinking

Tools

Apache Druid

Apache Superset

Power BI

Delta Lake

DataHub/Data governance tools

Job description

United States Digital Space LLC is seeking a Data Architect to own the data architecture across our growing data organisation, partnering with Data Engineering, BI and AI teams to drive roadmaps and ensure scalable data models. You will document structures, models and data contracts for products and analytics.

This fully remote, Romania-based role requires 8+ years in data roles, strong SQL, and expertise in lakehouse, vector data, and analytical serving tools like Druid, Superset, and Power BI.