Senior AWS Data Engineer

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 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 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. 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 DocuSign and if you receive an employment offer from a suspicious email and not via DocuSign, 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.

Design, develop, and maintain scalable data engineering solutions on AWS while implementing fine-grained data access controls. Collaborate with cross-functional teams to ensure data governance, security, and performance across enterprise data platforms.

Requires proven experience as a Data Engineer with hands-on expertise in AWS data services and modern data lake architectures. Strong proficiency in Python, PySpark, SQL, and Infrastructure-as-Code practices is essential for this role.

• Referral program • Flexible workplace

• SQLSouhaitée
• Amazon Web ServicesSouhaitée
• TerraformSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• AWS
• Data Engineering
• Python
• PySpark
• SQL
• Terraform
• Amazon Athena
• AWS Lake Formation
• AWS Glue Data Catalog
• Apache Iceberg
• Data Governance
• Infrastructure-as-Code
• Data Lakes
• Cloud Computing
• Data Security
• DocuSign (Software)
• Pipelines
• Infrastructure Automation
• AWS Glue
• Infrastructure as Code (IaC)
• Data Access
• Artificial Intelligence
• Amazon Web Services
• Automotive Manufacturing
• Telecommunications
• Management
• Business Valuation
• Data Processing
• Customer Engagement
• Data Transformation
• Financial Services
• Investment Management
• Governance
• Scalability
• Innovation
• Python (Programming Language)
• Maintainability
• Operational Excellence
• SQL (Programming Language)
• Troubleshooting (Problem Solving)
• Collaboration
• Reliability

• Data & Analytics
• Technology
• Software
• Engineering
• Consulting
• Data Engineer
• Software Developers
• Database Administrators

Expérience minimale

5+ ans

Postuler avant le

17 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Présence au bureau

3 jours par semaine