Akkodis · 4 hours ago
Senior Data Architect
Akkodis is seeking an experienced Senior Data Architect to help lead the design and evolution of intelligent data-driven platforms across their workplace solutions. This individual will champion initiatives leveraging data, analytics, and artificial intelligence to enhance business functions through scalable technology solutions.
Information Technology & Services
Responsibilities
Experience in leading data architecture initiatives, including cloud-native data platforms, machine learning lifecycle management, and enterprise data integration
Expertise in distributed data systems, data warehouse, data lakehouse architecture, and model operationalization frameworks such as MLflow, Sagemaker, or similar
Proficiency in Python, SQL, Snowflake and MongoDB and cloud technologies (AWS preferred), with experience deploying ML models using containers, APIs, or serverless frameworks
Familiarity with MLOps, data mesh principles, and real-time analytics (Kafka, Spark)
Artificial Intelligence experience is preferred but not required. A strong willingness to learn and grow in AI technologies is highly valued
Proficiency in logical and physical data modeling, multidimensional modeling, normalization and denormalization techniques
Experience in building data systems in microservice environments that provide access to data for operational and analytical needs (BI/ML/AI)
Experience translating business strategies into data solutions with measurable outcomes
Proficiency in design and development of ETL/ELT methodologies from source to target supporting data processing and transformations to deliver data-driven business insights and decisions
Familiarity with data observability tools, CI/CD for ML, and lineage/trust frameworks
Comfortable working in agile environments and guiding architecture for Agile Release Trains (ART)
TOGAF Certified
Qualification
Required
Experience in leading data architecture initiatives, including cloud-native data platforms, machine learning lifecycle management, and enterprise data integration
Expertise in distributed data systems, data warehouse, data lakehouse architecture, and model operationalization frameworks such as MLflow, Sagemaker, or similar
Proficiency in Python, SQL, Snowflake and MongoDB and cloud technologies (AWS preferred), with experience deploying ML models using containers, APIs, or serverless frameworks
Familiarity with MLOps, data mesh principles, and real-time analytics (Kafka, Spark)
Proficiency in logical and physical data modeling, multidimensional modeling, normalization and denormalization techniques
Experience in building data systems in microservice environments that provide access to data for operational and analytical needs (BI/ML/AI)
Experience translating business strategies into data solutions with measurable outcomes
Proficiency in design and development of ETL/ELT methodologies from source to target supporting data processing and transformations to deliver data-driven business insights and decisions
Familiarity with data observability tools, CI/CD for ML, and lineage/trust frameworks
Comfortable working in agile environments and guiding architecture for Agile Release Trains (ART)
TOGAF Certified
Preferred
Artificial Intelligence experience is preferred but not required. A strong willingness to learn and grow in AI technologies is highly valued
Benefits
Medical
Dental
Vision
Life insurance
Short-term disability
Additional voluntary benefits
An EAP program
Commuter benefits
401K plan
Paid Sick Leave
Holiday pay
Company
Akkodis
Akkodis provides digital engineering solutions for sustainable and innovative industries.
H1B Sponsorship
Akkodis has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (141)
2024 (121)
2023 (67)
Funding
Current Stage
Late StageLeadership Team
Recent News
2025-11-10
Canada NewsWire
2025-11-06
Company data provided by crunchbase