Time since we first saw it
Day 103
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Open 3 months, first seen by us 103 days agoEmployment type in the employer’s posting: ContractorFrom the employer’s posting
Design enterprise data architecture strategy, including data models, lakes and warehouses
Lead design and build of ETL/ELT pipelines for analytics and AI/ML workloads
Build modern data platforms on Databricks and Microsoft Fabric
Architect cloud-native data solutions on AWS for scalability, security and cost
Mentor and lead data engineering teams
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
Design and build modern data platforms using Databricks and Microsoft Fabric
Architect cloud-native data solutions on AWS, ensuring scalability, security, and cost efficiency
Provide technical leadership and mentorship to data engineering teams
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)
Open 3 monthsWe first saw this posting 103 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 103
Up longer than most. Similar jobs usually come down between day 7 and day 53.
From 7,823 similar postings that came down. Coming down is not always a hire.
5 open jobs
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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
- 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
- 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
Preferred Qualifications: - Experience with data architecture in hybrid or multi-cloud environments (Azure, AWS) - Familiarity with GenAI and agentic AI system architectures
- 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
- 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
Complete your application on blanclabs.bamboohr.com. The employer’s form will show what is required.
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Yes. We’ve followed one other Senior Data Architect job there since July 2026. It came down after 0 days.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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:
What You'll Need to Be Successful:
Preferred Qualifications:
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 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.
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Preferred Qualifications: - Experience with data architecture in hybrid or multi-cloud environments (Azure, AWS) - Familiarity with GenAI and agentic AI system architectures
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