Overview Lead AWS Data Engineer

POSITION SUMMARY

We 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:

New York City/ Toronto

Work Model:

Hybrid - 3-Days Onsite

Employment Type:

Contract - 3 Months

RESPONSIBILITIES

Design, develop, and maintain scalable data engineering solutions on AWS

Build 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 performance

QUALIFICATIONS, SKILLS & EXPERIENCE





Proven experience as a Data Engineer with robust 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

Strong 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 teams

NICE TO HAVE

Experience 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 capacity

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.

WHAT WE OFFER

Successful referral program

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

Satisfaction of working for a reputable company

A flexible, dynamic, and diverse workplace

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.

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