Lead AWS Data EngineerPOSITION SUMMARYWe are seeking a Lead AWS Data Engineer to join a data enablement and AI-focused initiative supporting a leading global institutional investment organization.

The role will be responsible for designing and implementing secure, scalable, and governed AWS data solutions, with a strong focus on modern data lake technologies, fine-grained data access controls, and enterprise data engineering best practices.

The successful candidate will work closely with data, cloud, and AI teams to deliver reliable data platforms that support critical investment and business functions

Primary Location: Recent York City/ Toronto

Work Model: Hybrid – 3-Days Onsite

Employment Type: Contract – 3 MonthsRESPONSIBILITIESDesign, develop, and maintain scalable data engineering solutions on AWSBuild and manage data lakes using AWS Lake Formation, AWS Glue Data Catalog, Apache Iceberg, and Amazon Athena

Implement fine-grained data access controls including LF-Tags, row-level security, column-level security, and data filtering

Develop, optimize, and maintain data processing pipelines using Python and PySpark

Write complex and efficient SQL queries for data transformation, analysis, and validation

Configure and manage Amazon Athena Workgroups and related data access mechanisms

Use Terraform to automate infrastructure provisioning and management following Infrastructure-as-Code best practices

Collaborate with data, cloud, and AI teams to deliver secure and reliable enterprise data solutions

Apply best practices for data governance, security, scalability, performance, and maintainability

Troubleshoot and optimize data platforms and pipelines to ensure reliability and performanceQUALIFICATIONS, SKILLS & EXPERIENCEProven experience as a Data Engineer with strong hands-on experience designing and implementing AWS data solutions

Strong experience with AWS Lake Formation, AWS Glue Data Catalog, and Amazon Athena

Hands-on experience building and managing modern cloud-based data lakes

Strong knowledge of Apache Iceberg and modern data lake architectures





Demonstrated experience implementing fine-grained data access controls, including LF-Tags, row-level security, column-level security, and data filtering

Robust programming skills in Python and PySpark

Advanced SQL skills, including complex data transformation and analytical queries

Hands-on experience with Amazon Athena Workgroups and data access mechanisms

Strong experience with Terraform and Infrastructure-as-Code practices

Experience designing secure, scalable, and governed enterprise data platforms

Strong understanding of data governance, security, performance, and maintainability best practices

Ability to collaborate effectively with data engineering, cloud, AI, and other cross-functional teamsNICE TO HAVEExperience working in financial services, investment management, or other highly regulated enterprise environments

Experience supporting data and AI-focused initiatives

Experience with additional AWS analytics and data services

Experience working with enterprise data governance frameworks

Previous experience in a technical lead or senior engineering capacityABOUT ADASTRAAdastra 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.WHAT WE OFFERSuccessful referral program

The opportunity to work with one of Canada's 50 Best Managed Companies

Satisfaction of working for a reputable companyA versatile, dynamic, and diverse workplaceEQUAL OPPORTUNITY EMPLOYERIn 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.AI Usage - Our hiring process includes the use of AI-enabled tools to screen applications (e.g., keyword matching, qualification ranking). A human recruiter reviews all AI-generated shortlists to make informed hiring decisions.

There has been an increased instance of fraudulent job offers coming from people posing as Adastra HR employees.

Please note that Adastra will never request fees as part of our recruiting process and any emails sent to you that are not from ‘@adastragrp.com' or ‘@talent.icims.com' are fraudulent.

All employment offers are sent via Docu

Sign and if you receive an employment offer from a suspicious email and not via Docu

Sign, it is fraudulent.

Contact [email protected] to inquire about jobs at Adastra, to report a suspicious request for money or personal information from external websites or suspicious employment offers.

📌 Senior AWS Data Engineer (Markham)
🏢 Adastra
📍 Markham