Akkodis · 1 day ago
Data Architect - Remote - Direct Hire (FTE)
Akkodis is seeking a Data Architect for a Direct Hire position, which is a 100% Remote role. The ideal candidate will lead data architecture initiatives, design advanced data platforms, and collaborate with business stakeholders to modernize data strategies and governance.
Responsibilities
Design and implement advanced data platforms and AI architecture, enabling enterprise-scale analytics, machine learning, and intelligent automation across the division
Collaborate with enterprise architects and business stakeholders to define a vision and roadmap for data modernization, MLOps, and AI governance aligned to strategic outcomes
Lead the development of AI models, POCs, and pipelines using cutting-edge technologies. Explore "what-if" scenarios, whiteboarding, and design sprints to evaluate new opportunities and validate business impact
Establish and uphold standards for data quality, stewardship, ethical AI practices, and secure model deployment while promoting regulatory compliance and trust
Coach engineers and analysts in data modeling, feature engineering, and ML development. Promote knowledge sharing and establish best practices across data science and data engineering teams
Integrate data solutions with microservices, event-based architectures, and external business partners, ensuring scalability, observability, and operational readiness
Qualification
Required
5+ years of 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
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
Strong understanding of data governance, explainability, and responsible data principles
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)
Excellent communication, stakeholder engagement, and cross-functional leadership skills
Preferred
TOGAF Certified
Group Benefits or insurance industry experience
Experience with MongoDB, Snowflake, AWS AI/ML stack (SageMaker, Glue, Redshift, Bedrock, etc.)
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
Benefits
401(k) with match
Medical insurance
Dental Insurance
Vision assistance
Paid Holidays Off
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
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