Data Product Analyst - Remote / Telecommute

• The Data Product Analyst will be responsible for designing, building, and optimizing scalable data solutions on Microsoft Azure.
• The role involves developing data pipelines, managing data platforms, implementing governance practices, and enabling analytics-ready datasets to support reporting, machine learning, and enterprise data product initiatives.

Experience:

• Experience in building scalable data pipelines using Azure Databricks, Delta Lake, and Synapse Analytics required.
• Experience in Python (PySpark) and SQL for enterprise-grade data engineering required.
• Experience in Azure services including Storage, SQL, Synapse, and networking required.
• Experience in GitHub/Git for version control and collaborative development required.
• Experience in data governance, metadata management, and security practices required.
• Experience designing analytics-ready datasets, semantic layers, and data marts preferred.
• Experience with Microsoft SQL Server and enterprise database systems preferred.
• Experience working with cross-functional teams and data product development preferred.

Responsibilities:

• Design and implement scalable, secure, and high-performance data architecture on Microsoft Azure.
• Build and maintain data ingestion, transformation, and integration pipelines using Azure Data Factory, Databricks, and Synapse Analytics.
• Develop and manage data lakes using Azure Data Lake Storage Gen2.
• Integrate data from multiple systems including ServiceNow and geospatial platforms using APIs and connectors.
• Build and optimize data workflows using Python and SQL for data transformation and analytics.
• Design and expose secure data services and APIs using Azure API Management.
• Develop and maintain data models and semantic layers for analytics and reporting use cases.
• Implement data governance including metadata management, data classification, and lineage tracking.
• Ensure compliance with regulatory standards through encryption, access controls, and data masking.
• Monitor, troubleshoot, and optimize data pipelines for performance and reliability.
• Utilize AI tools for automation, code generation, and workflow optimization.
• Design standardized datasets for analytics, reporting, and AI/ML use cases.

Should Have:

• Strong analytical and problem-solving skills.
• Ability to design scalable and secure data solutions.
• Strong understanding of data governance and security principles.
• Ability to work in cross-functional and agile environments.
• Strong communication and collaboration skills.
• Ability to handle multiple priorities in a fast-paced environment.

Skills:

• Azure Databricks, Delta Lake, Synapse Analytics.
• Azure Data Factory and Azure Data Lake Storage Gen2.
• Python (PySpark) and SQL.
• Git/GitHub version control.
• Data modeling, ETL/ELT pipelines.
• Data governance and metadata management.
• Azure API Management.
• Power BI and semantic data modeling.
• REST APIs and data integration.
• Microsoft Azure ecosystem.

Qualification And Education:

• Post-secondary degree, diploma, or certificate in Computer Science or related field required.