About Invesco

As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.

About the Team:

The North America Client Transactions & Data team is to streamline access to Client Information. We provide predictable data that enables our partners to respond more nimbly and rapidly to our changing business environment. By centralizing and delivery of our client data as a product, we provide transparent roadmaps while using a standardized, consistent & predictable in engineering practices.

About the Role:

You will be responsible for supporting advanced analytics initiatives and data integration. Interact with Business Owners, Product Owners, Business Data Analysts, and Application Developers, to design, build and manage large-scale batch and real-time data pipelines utilizing various data analytic frameworks.  The position requires a strong technical hands-on-skilled engineer.  A successful candidate must demonstrate strong analytical, design, programing, and debugging skills in a large-scale analytics solutions.

Responsibilities of the Role:
 

• Managing application and data integration platforms using AWS Cloud Components
• Building robust data pipeline using modern data engineering practice in a Cloud architecture
• Understand the business and enable the full life cycle of development/ reporting/ integration projects: planning, design, develop, testing and rollout that confirms to Agile Standards
• Responsible for Data availability /enablement for business reporting and analytics within the SLA
• Create and manage data, applications and technology architecture documentation and design artifacts
• Help maintain the code and capability environment required to evolve data-driven, analytical capabilities with the end goal of understanding customer behavior and competitive dynamics
• Strong experience with writing complex programs, implementing architectures, and enabling automation in these environments
• Communicate with various business areas, partner on the formulation of technical requirements for data ingestion, verification, scheduling, etc.

Requirements of the Role:

• 5-7 years of experience in data modeling, data warehousing, and big data architectures
• 5-7 years of experience of Amazon cloud (AWS)– S3, RDS, Lambda, Glue, SNS, Terraform etc.
• 5-7 years of experience in building data pipelines in tools using Apache Airflow, Airbyte
• Good understanding of ETL/ELT experience and good knowledge of SQL and query optimization techniques (ie DBT)
• 3-5 years of experience with Snowflake, with Cortex AI and LLM prompt engineering a nice to have
• Strong experience with databases such as Snowflake Postgres, Aurora, Athena
• Strong programming experience with Python, Linux/bash scripting, Ansible
• Experience using GitHub, Bit Bucket, or other code repository solution
• Understanding and knowledge of Automated code Deployments CI/CD
• BS in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences and data mining or relevant experience

Full Time / Part Time

Full time

Worker Type

Employee

Job Exempt (Yes / No)

Yes

Workplace Model

Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s growth and development.

The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time.

Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.