Senior Data Architect

The Data Engineering - Data Warehousing - Snowflake (Technical) Architect will lead the design and implementation of scalable, secure, and high-performing data platforms on Snowflake, with a strong focus on data automation and AI-driven solutions. The role will partner with business and technology stakeholders to define data architecture standards, modernize data warehousing capabilities, and enable advanced analytics and AI use cases across the organization., Define and own the end-to-end data architecture for Snowflake-based data warehousing and analytics solutions, aligned with enterprise standards and best practices.

• Design scalable data models, schemas, and data pipelines to support reporting, self-service analytics, and AI/ML workloads.
• Architect and oversee the implementation of ELT/ETL frameworks, data ingestion patterns, and integration with diverse source systems (batch and real-time).
• Lead modernization of legacy data warehouses to Snowflake, including migration strategy, performance optimization, and cost management.
• Establish data automation strategies, including orchestration, monitoring, and CI/CD for data pipelines and data products.
• Collaborate with AI/ML teams to design data platforms that support feature stores, model training, and model inference at scale.
• Define and implement data governance, data quality, security, and access control frameworks within Snowflake and related tools.
• Provide architectural guidance and technical leadership to data engineers, developers, and analysts across projects.
• Conduct architecture reviews, PoCs, and technology evaluations for data engineering, automation, and AI-enabling tools and platforms.
• Optimize Snowflake performance, storage, and compute usage through clustering, partitioning, caching, and workload management.
• Develop and maintain architecture blueprints, reference implementations, and reusable patterns for data warehousing and analytics.
• Partner with product owners and business stakeholders to translate analytical and AI requirements into robust data solutions.
• Ensure solutions are secure, compliant, resilient, and aligned with organizational policies and regulatory requirements.
• Mentor and upskill team members on Snowflake, data engineering best practices, and data automation techniques.

Strong ability to translate complex business needs into clear, scalable data architecture designs.

• Excellent communication and stakeholder management skills, with experience working in cross-functional, global teams.
• Proven leadership in driving data platform modernization and adoption of cloud-native data solutions.
• Strong problem-solving and analytical skills, with a focus on performance, reliability, and maintainability.
• Ability to work in an agile environment and manage multiple priorities and projects simultaneously., Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
• Extensive hands-on experience architecting and implementing solutions on Snowflake for large-scale data warehousing and analytics.
• Strong proficiency in SQL and at least one programming language commonly used in data engineering (e.g., Python, Scala).
• Experience designing and building ELT/ETL pipelines using modern data integration tools and orchestration frameworks.
• Solid understanding of data warehousing concepts, dimensional modeling, and best practices for analytical workloads.
• Experience with data automation, including workflow orchestration, CI/CD for data pipelines, and infrastructure-as-code concepts.
• Exposure to AI/ML ecosystems and understanding of data requirements for model development, deployment, and monitoring.
• Knowledge of cloud platforms (e.g., AWS, Azure, or GCP) and their data services, particularly those integrated with Snowflake.
• Strong understanding of data security, privacy, and compliance controls within cloud and data warehousing environments.
• Experience with data governance, metadata management, and data quality frameworks is preferred.
• Relevant Snowflake or cloud certifications are an advantage.

$70 - $72 an hour - Contract