Senior Engineer Digital Distribution

What's in it for you?

Our people are at the ver y 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 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

Additional information

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.