
Associate Information Data Architect
Posted Oct 22

Posted Oct 22
This is a fully remote position, open to applicants in Massachusetts.
• Convert reporting and analytical needs into analytical datasets, metric definitions, and reporting solutions.
• Create and document source-to-target mappings, transformation logic, and data lineage for integrations across systems.
• Perform in-depth data analysis to validate logic, resolve discrepancies, and assist with modernization or migration projects.
• Address ad hoc and urgent requests by providing accurate and timely information in a fast-paced environment.
• Clearly convey complex data concepts to both technical and business audiences.
• Work with product owners to define and document KPIs, metric logic, and shared business rules.
• Develop and maintain curated analytics datasets, including SQL views, tables, and semantic layers for dashboards and self-service analytics.
• Conduct data profiling, quality checks, and reconciliation utilizing SQL and Python.
• Parse, transform, and validate XML/JSON using Python, XPath, and schema rules.
• Maintain source-to-target mappings that support Azure Data Factory, Synapse, and Informatica workflows.
• Enhance analytics performance through query optimization, semantic modeling, and scalable dataset design.
• Support data governance by documenting processes, tracking lineage, and adhering to data management standards.
• Collaborate with Data Engineering to convert requirements into cloud-based data pipelines.
• Ensure alignment of datasets with enterprise data models and Azure standards.
• Monitor Azure and Fabric, including pipeline health, data freshness, and validation checks, to ensure adherence to SLAs.
• Validate and analyze data stored in ADLS containers.
• Work with Delta Lake and Parquet files to conduct integrity checks and maintain consistency across storage layers.
• Perform reconciliation and quality verification as data transitions through cloud storage zones.
• Contribute to enhancements of tools, process improvements, and innovation initiatives.
• Preferred Bachelor’s degree.
• Authorization to work in the United States without current or future sponsorship; must be a U.S. citizen or lawful permanent resident.
• 2+ years of experience in a related field such as data engineering, ETL, data modeling, analysis, validation, reporting, or analytical solution delivery.
• Strong expertise in SQL for data analysis, data profiling, and quality assessment of large and complex datasets.
• Preferred experience in P&C insurance, including familiarity with operational and financial metrics.
• Strong analytical and problem-solving capabilities.
• Proficient in advanced Excel, Power BI, and other visualization tools; capable of transforming data into valuable insights.
• Excellent written and verbal communication abilities.
• Strong skills in time management, prioritization, and organization.
• Knowledge of technical mapping, including database schema, XML schema, and JSON schema.
• Practical experience with Azure Data Factory, Synapse (SQL and Spark), ADLS, Azure SQL, and Azure DevOps (CI/CD).
• Proficient in Python for data wrangling, XML/JSON parsing, XPath, automation, and validation.
• Experience in creating semantic models and analytical datasets for BI platforms.
• Understanding of KPI design, data governance, lineage, and business glossary concepts.
• Ability to work across legacy Informatica and cloud platforms and validate logic during migrations.
• Capability to plan for future needs and continuous improvements.
• Preferred knowledge of data quality frameworks and automated testing with SQL/Python.
• Preferred experience with Synapse Spark/PySpark, Delta Lake, and notebook development.
• Preferred familiarity with Microsoft Fabric datasets, pipelines, and governance.
• Preferred experience with Microsoft Purview or similar metadata/lineage tools.
• Preferred knowledge of Parquet, partitioning, and performance optimization in lakehouse architectures.
• Preferred experience with Azure DevOps CI/CD using YAML and Git branching.
• Preferred knowledge of event streaming with Event Hubs or Service Bus and REST/SOAP APIs or web services.
• Full-time, exempt position.
• Remote work arrangement available.
• Opportunity to work within a modern Azure-based data ecosystem.
• Chance to contribute to tool enhancements, process improvements, and innovation initiatives.
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