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2 days ago
As a seasoned data transformation leader, you will be instrumental in redefining our enterprise data solutions. The primary focus of this role is to spearhead the migration of Alteryx workflows into Azure Databricks.
Key responsibilities include:
- Developing an overall migration strategy for transforming Alteryx workflows into cloud-native data solutions on Azure Databricks.
- Architecting end-to-end data frameworks leveraging Databricks, Delta Lake, and Azure Data Lake.
- Establishing best practices, standards, and governance frameworks for pipeline design, orchestration, and data lifecycle management.
- Guiding engineering teams in re-engineering Alteryx workflows into distributed Spark-based architectures.
- Collaborating with stakeholders to ensure solutions align with analytics, reporting, and AI/ML initiatives.
- Overseeing data quality, lineage, and security compliance across the data ecosystem.
- Driving CI/CD adoption, automation, and DevOps practices for Azure Databricks and related services.
- Providing architectural leadership, design reviews, and mentorship to engineering and analytics teams.
- Optimizing solutions for performance, scalability, and cost-efficiency within Azure.
Required skills and qualifications include:
- At least 10 years of experience in data architecture, engineering, or solution design.
- Proven expertise in Alteryx workflows and their modernization into Azure Databricks (Spark, PySpark, SQL, Delta Lake).
- Deep knowledge of the Microsoft Azure data ecosystem: Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, Azure Databricks.
- Strong background in data governance, lineage, security, and compliance frameworks.
- Demonstrated experience in architecting data lakes, data warehouses, and analytics platforms.
- Proficiency in Python, SQL, and Apache Spark for prototyping and design validation.
The ideal candidate will possess excellent leadership, communication, and stakeholder management skills.
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