Job Title: Data Architect
We are seeking a highly skilled data architect to lead the design, implementation, and optimization of enterprise-grade data solutions.
Key Responsibilities:
* Design, build, and optimize ETL/ELT pipelines using Azure Databricks (PySpark, Delta Lake) and Azure Data Factory (ADF).
* Develop pipelines, data flows, and complex transformations with ADF, PySpark, and T-SQL for seamless data extraction, transformation, and loading.
* Develop Databricks Python notebooks for tasks such as joining, filtering, and pre-aggregation.
* Optimize database performance through SQL query tuning, index optimization, and code improvements to ensure efficient data retrieval and manipulation.
* Maintain and enhance SSIS package design and deployment for legacy workloads; contribute to migration and modernization into cloud-native pipelines.
* Work with cross-functional teams using Git (Azure Repos) for version control and Azure DevOps pipelines (CI/CD) for deployment.
* Partner with governance teams to integrate Microsoft Purview and Unity Catalog for cataloging, lineage tracking, and role-based security.
* Implement REST APIs to retrieve analytics data from diverse external data feeds, enhancing accessibility and interoperability.
* Automate ETL processes and database maintenance tasks using SQL Agent Jobs, ensuring data integrity and operational reliability.
* Craft and optimize complex T-SQL queries to support efficient data processing and analytical workloads.
Required Qualifications:
* 5+ years of hands-on expertise with Azure Databricks, Python, PySpark, and Delta Lake.
* 5+ years of proven experience with Azure Data Factory for orchestrating and monitoring pipelines.
* Strong SQL Server / T-SQL experience with a focus on query optimization, indexing strategies, and coding best practices.
* Demonstrated experience in SSIS package design, deployment, and performance tuning.
* Hands-on knowledge of Unity Catalog for governance.
* Experience with Git (Azure DevOps Repos) and CI/CD practices in data engineering projects.
Nice to Have:
* Exposure to Change Data Capture (CDC), Change Data Feed (CDF), and Temporal Tables.
* Experience with Microsoft Purview, Power BI, and Azure-native integrations.
* Familiarity with Profisee Master Data Management (MDM).
* Working in Agile/Scrum environments.
Preferred Qualifications:
* Microsoft Certified: Azure Data Engineer Associate (DP-203)
* Microsoft Certified: Azure Solutions Architect Expert or equivalent advanced Azure certification
* Databricks Certified Data Engineer Associate or Professional
* Additional Microsoft SQL Server or Azure certifications demonstrating advanced database and cloud expertise