Data Architect (Data Modernization)
Job Description
Description
Join to apply for the Data Architect (Data Modernization) role at ShyftLabs
1 month ago Be among the first 25 applicants
Join to apply for the Data Architect (Data Modernization) role at ShyftLabs
Overview
We are seeking an experienced Data Architect to lead the technical architecture work stream of a comprehensive Data Modernization Assessment for our client. This role is instrumental in defining the future-state architecture across infrastructure, data pipelines, governance frameworks, and analytics platforms. The ideal candidate has deep expertise in enterprise data architecture, modern cloud data platforms, and designing scalable, AI-ready data ecosystems.
Overview
We are seeking an experienced Data Architect to lead the technical architecture work stream of a comprehensive Data Modernization Assessment for our client. This role is instrumental in defining the future-state architecture across infrastructure, data pipelines, governance frameworks, and analytics platforms. The ideal candidate has deep expertise in enterprise data architecture, modern cloud data platforms, and designing scalable, AI-ready data ecosystems.
Job Responsibilities
- Assess and document the current enterprise data architecture, including ingestion, processing, storage, and consumption layers across cloud and hybrid systems
- Lead the review of data pipelines and infrastructure, identifying opportunities to optimize scalability, reliability, performance, and cost-efficiency
- Design and recommend target-state architecture aligned to modernization objectives, including support for data products, domain ownership models, and AI-readiness
- Evaluate and improve monitoring, observability, and lineage capabilities, ensuring system transparency and operational resilience
- Guide the design and enhancement of metadata and governance frameworks, including cataloging, data stewardship, access control, and compliance alignment
- Collaborate with cross-functional teams to assess and integrate the existing analytics tooling landscape into the broader architecture vision
- Provide architectural guidance to support agentic BI and AI-driven analytics initiatives, ensuring foundational readiness across data layers
- Translate assessment findings into strategic architecture roadmaps and reference models, enabling phased modernization
- Partner with the Technical Product Manager and Engineering leads to align architecture with business goals and operational realities
Basic Qualifications
- 5 – 7 years of experience in data architecture or enterprise architecture roles, with a strong foundation in designing and modernizing large-scale data systems
- Proven experience architecting solutions on cloud platforms such as AWS, Azure, or GCP using modern components (e.g., Lakehouse, Delta Lake, Redshift, BigQuery, Snowflake, etc.)
- Expertise in data modeling, data integration frameworks, and real-time/batch processing architecture (e.g., Spark, Kafka, dbt, etc.)
- Solid understanding of data governance, metadata management, and security practices, including experience with tools like Collibra, Alation, or AWS Glue Data Catalog
- Familiarity with observability frameworks, system health monitoring, and end-to-end data lineage design
- Experience evaluating or designing support for advanced analytics, AI/ML pipelines, and agentic BI solutions
- Strong communication and stakeholder engagement skills, capable of working with executives, engineers, and analysts to bridge business and technical needs
Preferred Qualifications
- Experience working in regulated enterprise environments (e.g., finance, healthcare, energy)
- Exposure to agentic AI systems, LLM integrations, or modern autonomous analytics platforms
- Certifications in cloud architecture (e.g., AWS Certified Data Analytics – Specialty, Azure Data Engineer Associate, Google Professional Data Engineer)
We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. The role is preferably hybrid, with 2 days per week spent in the office, and flexibility for client engagement needs. We pride ourselves on the growth of our employees, offering extensive learning and development resources.
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering and Information Technology
-
Industries
Business Consulting and Services
Referrals increase your chances of interviewing at ShyftLabs by 2x
Get notified about new Data Architect jobs in Toronto, Ontario, Canada .
Solutions Architect – SVP – Mississauga (Hybrid)
Mississauga, Ontario, Canada 18 hours ago
Toronto, Ontario, Canada CA$85.00-CA$ hours ago
Senior Manager, Microsoft – Data Architect
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
Company
ShyftLabs
Location
Toronto
Country
Canada
Salary
150.000
URL