We seek an experienced Enterprise Azure Data Architect to join our dynamic team. The ideal candidate will have a strong background in Azure Cloud services, including Azure SQL, Synapse, Data Factory, Databricks, and Data Lake Storage, to architect complex data ecosystems to support business intelligence, machine learning, and advanced analytics initiatives.
Responsibilities
- Design, develop, and implement enterprise data architectures that meet business needs and comply with data governance standards.
- Plan and Lead the migration of on-premises data to Azure Cloud, including SQL Server databases and data warehouses.
- Design and implement data lakes and data warehouses using Azure and Snowflake, ensuring scalability, performance, and cost-efficiency.
- Develop and maintain data pipelines and ETL/ELT processes for data integration and transformation.
- Define data models, schemas, and security protocols to ensure data integrity and access control.
- Collaborate with stakeholders to understand business requirements and translate them into technical data solutions.
- Monitor and optimize data platform performance, and identify and troubleshoot data quality issues.
- Analyze, propose, evaluate, and influence the implementation of Data Governance tools, AI solutions, ML models for predictive analytics, and statistical analysis tools.
- Leverage automation tools, research & enrich data models with external data sources, and design and build integrations (real-time streaming and batch).
Qualifications
- 10+ years of experience in data architecture and design.
- Bachelor's degree in Computer Science, Information Technology, or related field.
- Proven expertise in SQL Server, including database administration, T-SQL scripting, and data modeling.
- Strong understanding of cloud-based data platforms, preferably Azure SQL, ADLS, Synapse Analytics, and Snowflake.
- Experience with building data lake, and data warehousing concepts, including dimensional modeling and data governance, understanding and application of ML algorithms.
- Experience with Azure Data Factory, Azure Databricks, Power BI, Python, Azure ML
- Familiarity with data security and compliance regulations (PCI, BSA, GDPR, etc.).
- Experience with Agile development methodologies.
- Experience in Banking, Financial Services, or Insurance.