Project Duration: This is a 3-6 month contract-to-hire opportunity

Summary:

The Data & Analytics Architect plays a pivotal role in shaping the strategic application of data at our company. This driven, and collaborative data expert, will be designing scalable and secure data systems that enable self-service business intelligence, analytics driven by insights, and decision support powered by artificial intelligence.

Responsibilities:

Architect, Design & Build Data & Analytics Solutions:

• Lead the design and architecture of the cloud-based BI and Analytics Lakehouse platform using Azure Databricks, DBT and other modern data warehousing technologies.
• Create and maintain data models, ELT processes, and data pipelines to support enterprise reporting and analytics needs.
• Establish best practices for data storage, processing, and accessibility within the Lakehouse.
• Collaborate with data engineers to develop and maintain robust data pipelines, ensuring data quality, integrity, and timeliness.
• Integrate data from various sources into the Lakehouse, including structured and unstructured data, and develop standardized and enriched data models to deliver analytical solutions.
• Optimize performance, scalability, and cost-efficiency of cloud resources to ensure reliable and efficient data processing.
• Collaborate with data analysts, data scientists, and other enterprise data professionals to advance the organization's data capabilities.
• Provide technical guidance, support & mentoring for data-related projects across the organization.

Performance, Accessibility and Best Practices:

• Implement and maintain data security protocols and ensure data privacy and compliance with policy & regulation.
• Define access controls, encryption, and auditing for sensitive data.
• Document architectural designs, data flows, and procedures for the Lakehouse.
• Establish and enforce best practices for data management and governance.
• Monitor and optimize the performance of the data architecture to meet the requirements of data analysts and data scientists.
• Troubleshoot and resolve platform-related issues promptly.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Analytics, Engineering or a related field.
• 4 years' proven professional experience as a Data Architect, Data Engineer, or similar roles.
• Proficiency with leading cloud data platforms (Azure, GCP, AWS, Snowflake) and related data services.
• Expert knowledge: Spark, Python, Scala, Hive, SQL
• Experience with BI and Analytics tools, Power BI Premium is preferred.
• Strong proficiency in data modeling fundamentals, ELT patterns, and data warehousing concepts.
• Knowledge of data governance, security, and compliance standards.
• Detail-oriented with strong problem-solving and communication skills.
• Hybrid work: On-site 2-3 days per week.