Senior Data Architect at Blanc Labs in Remote

Blanc Labs is a premier partner for global enterprises, leading the way in digitization, automation, and the development of next-generation digital products and services. Our expertise in digital transformation powers businesses to accelerate service delivery, drive customer engagement, and foster growth.

We are seeking a highly skilled Senior Data Architect with AI Skills to design and lead enterprise data architecture strategy across modern data platforms. This role combines deep data engineering and modeling expertise with hands-on experience in AI-enabled data ecosystems, driving the design of scalable, governed, and intelligent data solutions across the organization.

What You'll be Doing:

• Design and evolve enterprise data architecture strategies, including data models, data lakes, and data warehouses
• Lead the design and implementation of ETL/ELT pipelines to support analytics, reporting, and AI/ML workloads
• Architect and implement Master Data Management (MDM) frameworks to ensure data quality, consistency, and governance across systems
• Design and build modern data platforms using Databricks and Microsoft Fabric
• Architect cloud-native data solutions on AWS, ensuring scalability, security, and cost efficiency
• Define data governance standards, metadata management practices, and data lineage frameworks
• Collaborate with data science and AI teams to design data architectures that support machine learning, GenAI, and agentic system use cases
• Partner with business and technical stakeholders to translate data requirements into scalable architectural solutions
• Evaluate and recommend tools, technologies, and best practices for data integration, storage, and processing
• Provide technical leadership and mentorship to data engineering teams
• Troubleshoot complex data pipeline and platform issues, driving root cause analysis and long-term fixes
• Drive continuous improvement in data architecture, performance, and observability

What You'll Need to Be Successful:

• 8+ years of experience in data architecture, data engineering, or related roles
• Strong hands-on experience designing data models (conceptual, logical, physical) for enterprise systems
• Proven experience building and optimizing ETL/ELT pipelines
• Hands-on experience implementing Master Data Management (MDM) solutions
• Strong expertise with Databricks for data engineering and analytics workloads
• Experience with Microsoft Fabric for unified data and analytics solutions
• Solid experience with AWS data services (e.g., S3, Glue, Redshift, RDS, Lake Formation)
• Understanding of AI/ML data requirements, including feature engineering and data preparation for GenAI and LLM-based systems
• Strong knowledge of data governance, data quality, and metadata management practices
• Proficiency in SQL and familiarity with Python or other data engineering languages
• Strong analytical and problem-solving skills, with the ability to communicate technical concepts to non-technical stakeholders

Preferred Qualifications:

• Experience with data architecture in hybrid or multi-cloud environments (Azure, AWS)
• Familiarity with GenAI and agentic AI system architectures
• Experience with data cataloging and lineage tools
• Knowledge of CI/CD practices for data pipelines (DataOps)
• Experience working in Agile/Scrum environments

Blanc Labs is enabling a digital future. Headquartered in Toronto, we partner with clients in North & South America to digitize and automate their operations and build their next generation of digital products and services. We empower clients to enhance their digital offerings and bring creative solutions to the market faster. Learn more at https://www.blanclabs.com.

Blanc Labs is an equal opportunity employer and is committed to providing employment in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Accommodations within reason due to a disability or medical need are available on request for candidates taking part in the recruitment process.