Key Responsibilities
Design and Build Data Solutions
- Architect and implement modern data platforms using Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Data Lake Storage, and Cosmos DB.
- Develop and maintain data pipelines for ingestion, transformation, and storage.
- Design data models and schemas to support business intelligence and advanced analytics.
Data Governance and Compliance
- Implement data security, privacy, and compliance measures.
- Establish governance frameworks for data quality and lifecycle management.
Collaboration and Leadership
- Partner with business stakeholders, data scientists, and engineering teams to align architecture with business objectives.
- Provide technical leadership, mentoring, and enforce best practices for data engineering teams.
Performance and Optimization
- Monitor system performance and troubleshoot issues.
- Optimize architecture for cost efficiency, scalability, and high availability.
Innovation and Enablement
- Stay updated on emerging Azure technologies and industry trends.
- Conduct workshops and enablement sessions to drive adoption of Azure data solutions.
Required Skills and Experience
Technical Expertise
- Strong proficiency in Azure services: Data Factory, Synapse, Databricks, Data Lake, Power BI.
- Hands‑on experience with data modeling, ETL design, and data warehousing.
- Knowledge of SQL, NoSQL, PySpark, and BI tools.
Architecture and Strategy
- 7+ years in data architecture roles; 3+ years with Azure data solutions.
- Familiarity with Lakehouse architecture, Delta/Parquet formats, and data governance tools.
Preferred Qualifications
- Experience in regulated industries (e.g., Financial Services).
- Knowledge of Microsoft Fabric, Generative AI, and RAG‑based architectures.
Education & Certifications
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or related fields.
- Certifications such as Microsoft Certified: Azure Solutions Architect Expert or Azure Data Engineer Associate are highly desirable.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Information Technology
Industries: IT Services and IT Consulting
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