Senior AWS Solutions Architect

Adastra Corporation; Toronto; Hybrid; CAD 83,000 - 152,000; Part time

Job summary

Adastra Corporation in Toronto (ON) or New York City (NY) is seeking a Senior AWS Solutions Architect to lead the evolution of a modern AWS-based data platform. Hybrid 4-days onsite; contractor role guiding architecture, semantic graphs, and data portal development for advanced analytics.

You will combine architecture leadership with hands-on engineering to produce reference architectures, HLDs/LLDs, and scalable enterprise solutions in a fast-moving team.

Qualifications

• Proven experience delivering Data & Analytics projects on AWS.
• Extensive data architecture and platform design in large cloud environments.
• Strong hands-on experience with semantic layers or Knowledge Graph architectures.
• Deep expertise with AWS data and analytics services.
• Hands-on experience with AWS data lake architectures (S3).
• Hands-on experience with Neptune and Knowledge Graph technologies.
• Strong SQL and Python skills.
• Terraform for IaC deployments.

Responsibilities

• Define and own the architecture vision for expanding the data platform to a semantic layer.
• Lead design and implementation of semantic graphs to support analytics and data discovery.
• Architect agentic systems for semantic search and conversational data interactions.
• Develop scalable reference architectures and designs for enterprise data solutions.
• Hands-on work across AWS services and agentic components to productionize concepts.
• Provide technical leadership and mentor a data architecture team.
• Collaborate with engineering, analytics, and product teams on architecture decisions.
• Translate PoC solutions into scalable production environments.

Skills

AWS

Data architecture

Knowledge Graph

Semantic layer

SQL

Python

Terraform

Neptune

Tools

Amazon Neptune

Terraform

Iceberg

Job description

SENIOR AWS SOLUTIONS ARCHITECT

We are seeking a senior, hands‑on AWS Solutions Architect to lead the evolution of a modern AWS-based data platform from a federated data products layer into a scalable semantic layer powered by a Knowledge Graph. This role will play a critical part in shaping the architecture and technical direction of a next‑generation data portal supporting advanced analytics, semantic search, and intuitive business‑facing data experiences. The successful candidate will combine deep architecture expertise with hands‑on engineering capabilities to develop reference architectures, HLDs and LLDs, productionize proven concepts, and guide the technical direction of a high‑performing architecture team

POSITION SUMMARY

Primary Location: Toronto, ON or New York City, NY

Work Model: Hybrid 4-Days Onsite

Employment Type: Contractor

RESPONSIBILITIES

• Define and own the architecture vision for expanding the data platform from federated data products to a semantic layer powered by a Knowledge Graph




• Lead the design and implementation of semantic and context graphs to support advanced analytics, data discovery, and insight generation




• Architect agentic systems layered on top of the data platform to enable semantic search, comprehension, and conversational data interactions




• Design and develop scalable reference architectures, high‑level designs and low‑level designs for enterprise data and agentic solutions




• Work hands‑on across AWS AgentCore Gateway and Identity, MCP, Knowledge Graph, Amazon Neptune, AWS infrastructure and agentic services




• Lead the productionization, integration and scaling of existing architecture concepts into enterprise‑ready solutions




• Provide hands‑on technical leadership while helping build and mentor a high‑performing data architecture team




• Collaborate with engineering, analytics and product teams to align architecture decisions with business outcomes




• Translate Proof of Concept solutions into scalable, operational production environments




• Ensure solutions are transparent, explainable and accessible through business‑facing interfaces




• Provide technical direction and architectural guidance across complex data platform transformation initiatives

QUALIFICATIONS, SKILLS & EXPERIENCE

• Proven experience delivering Data & Analytics projects on AWS




• Extensive experience in data architecture and platform design within large‑scale, cloud‑based environments




• Strong hands‑on experience designing and implementing semantic layers or Knowledge Graph‑based architectures




• Deep expertise with AWS data and analytics services




• Strong hands‑on experience with AWS data lake architecture using Amazon S3




• Strong hands‑on experience with Apache Iceberg, including table formats, partitioning, schema evolution and table maintenance




• Strong hands‑on experience with AWS Lake Formation, including LF‑tags, row‑level and column‑level security, data filters and fine‑grained access control




• Hands‑on experience with Amazon Neptune and Knowledge Graph technologies




• Strong SQL and Python skills




• Hands‑on experience with Infrastructure as Code using Terraform




• Experience designing architectures that support advanced analytics, data discovery and semantic search use cases




• Hands‑on experience working across Proof of Concept and production environments, translating concepts into operational solutions




• Experience with AWS AgentCore Gateway and Identity, MCP and agentic services




• Strong understanding of AWS infrastructure and cloud‑native architecture patterns




• Strong stakeholder‑facing design leadership and ability to communicate complex technical concepts clearly to technical and non‑technical stakeholders




• Proven ability to provide technical leadership and guide teams through complex architectural transformations




• Ability to collaborate effectively with engineering, analytics, product and architecture teams

NICE TO HAVE

• Experience with agent‑based or agentic architectures for data interaction and insight generation




• Familiarity with conversational analytics or chat‑based business intelligence tools




• Experience with explainable or transparent analytics solutions




• Background supporting business‑facing data products or self‑service analytics platforms




• Experience building or scaling next‑generation data portals and semantic data experiences

ABOUT ADASTRA

Adastra is a global leader in AI and data‑driven transformation, helping organizations lead with artificial intelligence—responsibly, strategically, and at scale. With over 25 years of experience, Adastra empowers enterprise clients to unlock business value through data innovation, operational excellence, and smart customer engagement.

Trusted by some of the world’s most prominent brands, Adastra delivers end‑to‑end solutions grounded in thoughtful strategy, robust governance, and deep technical expertise. From defining vision to ensuring execution, Adastra guides organizations through every stage of their AI, data and cloud journey—building future‑ready capabilities and delivering measurable, lasting impact.

Adastra serves clients across key industries including financial services, automotive, manufacturing, technology, media and telecom (TMT), healthcare, retail, and professional services. The company employs more than 2,000 professionals across North America, Europe, and Asia.

EQUAL OPPORTUNITY EMPLOYER

In our commitment to promote fair and equitable treatment of all employees and applicants, Adastra Corporation provides equal employment opportunities for all individuals regardless of age, sex, disability, race, ethnic origin, citizenship, creed, sexual orientation, marital status, or any other ground as described in the Ontario Human Rights Code. In addition, accommodation will be provided during the hiring process. Adastra Corporation’s implementation and support of employment initiatives, encourage diversified labour force participation and equal access to opportunities based on merit and performance.