Design and build a scalable, org-wide data architecture that serves as the backbone for all current and future products.
Design, build, and maintain data pipelines and ETL/ELT processes across Azure SQL Server, PostgreSQL, Elasticsearch, and third-party sources (Salesforce, APIs).
Evaluate and support a potential migration from MSSQL to PostgreSQL, including feasibility analysis, schema translation, deadlock remediation, performance benchmarking, and migration planning.
Build and maintain a centralized data warehouse or data platform to support analytics, reporting, AI/ML workflows, and our broader data-as-a-service.
Architect metadata models, taxonomies, and tagging systems that enable content enrichment across products (e.g., tagging content with vendors, team size, revenue, industry).
Collaborate with engineering, product, and AI teams to define data models and ensure clean, consistent data flows across systems.
Implement data quality checks, monitoring, and alerting to maintain data integrity across all data products.
Document data architecture, lineage, and dictionary standards for the engineering team.
Support and improve existing Azure SQL databases, Redis caching layers, and Elasticsearch clusters.
Identify and resolve data bottlenecks, query performance issues, and infrastructure gaps.

4–7 years of experience in data engineering, data architecture, or a related role.
Advanced or fluent spoken English.
Strong expertise in Microsoft SQL Server — schema design, stored procedures, views, performance tuning, and query optimization.
Experience with PostgreSQL — schema design, migrations, performance tuning, and tooling (or demonstrated ability to evaluate and adopt it).
Hands-on experience building and managing ETL/ELT pipelines (FiveTran, SSIS, Python, or similar).
Solid experience with Azure cloud services — Azure SQL, Azure Functions, Azure Redis Cache, and related data tooling.
Experience designing metadata models, taxonomies, or tagging systems for content enrichment or data products.
Working knowledge of Elasticsearch for search indexing and data retrieval.
Experience designing and maintaining data warehouses or analytical data stores.
Familiarity with data integration from Salesforce or other CRM/SaaS platforms via APIs or connectors.
Strong documentation, communication, and problem-solving skills.
Experience designing and implementing database sharding and partitioning strategies to support high-throughput, horizontally scalable applications.
Self-motivation and ability to work effectively in a small, collaborative remote team.

Data Engineer / Data Architect, Consultant

Key skills