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.
Our people are at the very core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including:
Flexible paid time off
Hybrid work schedule
401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution
Health & wellbeing benefits
Parental Leave benefits
Employee stock purchase plan
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
· The role will be responsible for providing innovative operational solutions and best practices
· Communicate with various business areas, partner on the formulation of technical requirements for data ingestion, verification, scheduling, etc.
· Strong written and verbal communication skills.
Requirements of the Role:
· 5–7 years of hands-on experience in data modeling, data warehousing, and large-scale data architecture design
· 5–7 years of experience working in AWS, including services such as S3, RDS, Lambda, Glue, SNS, and related components
· 5–7 years of experience designing, building, and maintaining data pipelines using Apache Airflow
· Strong understanding of ETL/ELT patterns, with solid expertise in SQL and query performance optimization
· 3–5 years of experience working with Snowflake
· Proven experience with relational and analytical data stores, including Snowflake, PostgreSQL, Aurora, and Athena
· Strong programming skills in Python for data processing, automation, and pipeline development
· Experience using source control and collaboration tools such as GitHub, Bitbucket, or similar platforms
· Working knowledge of CI/CD practices and automated deployment pipelines for data and analytics workloads
AI / Advanced Analytics Exposure (Nice to Have)
· Familiarity with enabling AI/ML use cases through data engineering best practices, such as preparing high-quality datasets, feature-ready pipelines, and scalable data access patterns
· Exposure to integrating AI-driven tools or services (e.g., AWS AI services, Snowflake Cortex Code, LLM-enabled applications, or analytics platforms) into data workflows is a plus
- · Comfortable working with ambiguity (e.g. imperfect data, loosely defined concepts, ideas, or goals) and translating these into more tangible outputs
· BS in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences and data mining or relevant experience
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.