Note: The job is a remote job and is open to candidates in USA. Fixity Technologies is focused on modernizing and transforming legacy applications and data systems. As a Senior Data Platform Developer, you will enable the transformation of legacy application case management systems into modernized, scalable, and cloud-based architectures.

Responsibilities

• Design, build, and maintain enterprise-scale data pipelines using Azure Data Factory (ADF)
• Develop and optimize Azure SQL-based data warehouses, data marts, and complex transformation logic
• Architect and implement Power BI semantic models with DAX, Power Query (M), and dimensional modeling (star schema) best practices
• Ensure data pipelines are efficient, reliable, and meet performance and security standards
• Lead legacy system analysis, data profiling, cleansing, and transformation activities
• Collaborate with stakeholders to define and document legacy and future-state data requirements
• Develop and execute comprehensive data migration strategies and processes for operational and case management systems
• Coordinate data synchronization and bridging efforts to support phased implementation across new platforms
• Provide hands-on leadership to ensure data quality, integrity, and alignment to modernized systems
• Lead and mentor a team of developers and analysts in best practices for data integration and transformation
• Oversee resource planning, task allocation, and status reporting for data conversion activities
• Collaborate cross-functionally with business users, system integrators, architects, and data scientists
• Evaluate and enhance the existing data architecture, driving innovation and scalability

Skills

• 8+ years of progressive experience in Data Warehouse/Data Mart environments, with a focus on cloud-based solutions
• Advanced expertise with Azure Data Factory (ADF) and Azure SQL Server
• Proven ability to deliver enterprise-grade Power BI semantic models, including advanced DAX and Power Query transformations
• Demonstrated experience in legacy data migration, including strategy definition, mapping, cleansing, and execution
• Proficient in SQL and experienced with data modeling methodologies (e.g., Kimball, Inmon, Boyce-Codd)
• Familiarity with other cloud and big data platforms such as Databricks, Snowflake, AWS, or GCP
• Strong understanding of data governance, security, and compliance principles
• Excellent problem-solving, debugging, and analytical skills, particularly within large and complex data ecosystems
• Proven ability to lead cross-functional teams and communicate effectively with both technical and non-technical stakeholders
• Experience implementing CI/CD pipelines and infrastructure-as-code in a data engineering context
• Exposure to DevOps practices for data operations and delivery
• Experience supporting phased data bridging and live system cutovers during system modernization efforts
• Knowledge of data cataloging, metadata management, and data lineage tools

Company Overview