Senior Data Architect

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Blanc Labs

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

💸 Finance

☁️ SaaS

💰 Venture Round on 2016-12

B2B • Finance • SaaS

Blanc Labs is a full-service technology consulting firm focused on helping clients realize their full potential through the creative use of technology. They specialize in digital transformation, technology strategy and implementation, API management, AI, analytics, and automation. Their services include systems integration and business process improvement, especially in the financial services and healthcare sectors. Blanc Labs partners with industry leaders to enable innovative customer experiences and achieve measurable business outcomes, with a strong presence in the Canadian market.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• Health insurance • Paid time off • Flexible work options • Professional development opportunities