Senior Data Architect

We are seeking a highly experienced Senior Data Architect to design and implement robust, scalable, and high-performance data architectures that support our enterprise data initiatives. The ideal candidate should bring strong expertise in SQL, ETL/ELT, Microsoft Fabric, Azure, and a deep understanding of data warehousing concepts, medallion architecture, and data pipeline engineering. Experience in data visualization, DevOps, and modern cloud-based data platforms is essential. This role requires strong leadership to manage the successful delivery of multiple data projects and provide technical guidance to data engineering teams. In addition, the role requires active participation in pre-sales activities such as developing technical proposals, responding to RFPs, creating SOWs and estimations, and presenting solutions to senior leadership and customer stakeholders.

Who we are and what we do:

We are an international IT service company with established processes and a well-formed culture based on Agile philosophy. We are located in Belarus and Lithuania with representative offices in the USA and the Netherlands.

We have been developing IT solutions for clients from the USA and Europe for over 14 years. We specialize in Enterprise development, creation of integration solutions and systems for automating business processes. Our teams also successfully implement research projects in the fields of IoT and science. We offer professional IT consulting and effective project management.

Key Responsibilities:

• Architect end-to-end data solutions using modern cloud data platforms, especially Microsoft Fabric and Azure Synapse Analytics.

• Lead the planning, execution, and delivery of multiple data projects, ensuring alignment with business goals, timelines, and quality standards.

• Lead the design and development of Data Warehouses, Data Lakes, and Lakehouses following Medallion architecture principles (Bronze, Silver, Gold layers).

• Define and implement data ingestion pipelines from diverse sources (structured, semi-structured, and unstructured).

• Oversee the development of ETL/ELT processes, ensuring scalability, performance, and reusability.

• Work closely with business analysts, data engineers, and BI developers to understand requirements and translate them into robust technical designs.

• Drive data quality, lineage, cataloging, and governance best practices.

• Collaborate with DevOps teams to integrate CI/CD pipelines and automate deployments using Azure DevOps.

• Provide guidance and mentorship to junior architects and data engineers.

• Evaluate & recommend tools, technologies, and frameworks to support data strategies. Support pre-sales activities by preparing technical proposals, effort estimations, and SOW documents.

• Collaborate with sales and leadership teams to respond to RFPs and customer queries.

• Present technical solutions and value propositions to senior leadership and client stakeholders.

Required Skills & Experience:

• 12–18 years of experience in Data Architecture, Data Engineering, or related roles.

• Strong hands-on experience in SQL, performance tuning, and optimization.

• Expertise in ETL/ELT processes, data modeling, and transformation logic.

• Solid understanding of Microsoft Fabric (Data Factory, Dataflows Gen2, OneLake, etc.).

• Deep knowledge of Data Warehousing principles, star/snowflake schema, and dimensional modeling.

• Strong understanding of data pipelines, data integration from various source systems (ERP, APIs, Files, Streams, etc.).

• Experience with Azure Data Services (Data Factory, Synapse, Databricks, Azure SQL DB, Blob Storage).

• Hands-on experience with DevOps practices, source control, CI/CD pipelines, and infrastructure automation (preferably Azure DevOps).

• Proficiency in data visualization tools like Power BI/Tableau/Qlikview.

• Understanding of data governance, security, compliance, & metadata management.

• Demonstrated experience in pre-sales engagements including proposals, RFP responses, SOW creation, and solution presentations.

• English — confident conversational skills, experience working on international projects and direct communication.

Preferred Qualifications:

• Microsoft Azure certifications (e.g., Azure Data Engineer Associate, Azure Architect).

• Experience with data modeling tools (e.g., ER/Studio, dbt).

• Familiarity with Python, Spark, or Scala is a plus.

We Offer:

• The opportunity to work on challenging international projects and directly shape the architecture and strategic direction of our data platforms.

• Hands-on experience with cutting-edge technologies and close collaboration with a highly skilled and experienced team.

• Flexible working arrangements, including full remote options.

• Competitive, stable salary pegged to the US dollar, reflecting your expertise and impact.

• Comprehensive benefits package and clear, transparent internal processes.

• Opportunities for professional growth, including certifications, training, and participation in conferences.