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.

Duties:

• Contribute to the development and maintenance of enterprise data platform infrastructure, building-out enterprise grade data platform capabilities that support our Client Experience, Regulatory, and Investment teams.
• Implement data entitlement policies using tagging, masking, and attribute-based controls.
• Design and manage ETL/ELT pipelines triggered by schedules, upstream events, or business needs.
• Enhance data capabilities by architecting, designing and delivering data migrations to cloud solutions like snowflake, Aurora etc.
• Work closely with the data modeler and architecture group to establish tools and practices for enterprise data modeling needs.
• Manage and maintain messaging queues including infrastructure, creation of queues, topics, subscriptions, channels, remote queues and designing the secure message flow with enabling encryptions & handing the authorizations & authentication.
• Work closely with business stakeholders to identify required business functionality and design data platforms that Integrate seamlessly into the broader ecosystem while supporting business, functional and performance needs while ensuring operational resiliency.
• Develop, maintain and support data infrastructure on multiple cloud platforms.
• Design and implement robust security and access control mechanisms across all data platforms.
• Provision the infrastructure and resources with the Infrastructure-as-Code (IaC)
• Develop, implement and maintain CI/CD pipelines to automate software build, test, and deployment processes across multiple environments.
• Develop and manage the containerization images and use container orchestration to deploy the images, including the scaling, rolling updated and self-healing.
• Integrate security scanning tools into development workflows.
• Optimize system performance and reliability through proactive monitoring.
• Develop data set patterns and processes for data discovery, modeling, mining, and archival
• Ensure business continuity through disaster recovery planning and high-availability setups
• Experience in data platform compliance with regulatory standards and internal governance policies, including data privacy, access control, and audit readiness.

Requirements:

• Must have a Bachelor’s degree in Computer Science, Computer Engineering, Electrical/Electronic Engineering or related technical field

• Must have 5 years of progressive experience in data engineering, positions performing/utilizing the following:

• Expertise in Snowflake, Airflow, AWS, and modern data stack platforms.
• Strong understanding of data governance, quality, and security principles.
• Experience with microservices in cloud environments and core AWS services.
• Containerization and orchestration
• Building data ingestion pipeline from Rest APIs, flat files, and cloud storage.
• Proficiency in system monitoring, logging, and alerting tools.
• Experience in high-availability and disaster recovery planning.
• Hands-on experience with: Airflow, BizTalk, Snowflake, IIS; IBM WebSphere Messaging (WMQ), Amazon MQ; PostgreSQL, SQL Server, Oracle; AWS cloud services including EC2, Lambda, EKS, RDS, CloudWatch, Certificate Manager, KMS, SNS, Glue, Antenna, S3, Route53, ALB, and IAM; Terraform, AWS CloudFormation, and Git; Azure DevOps, Bitbucket, and JFrog Artifactory; Fortify, Prisma, WhiteSource, and SonarQube; Python, PowerShell, and MSBuild; JIRA, Confluence, and ServiceNow; Power BI and Tableau; Python, SQL and DBT; and Orchestration tolls incl Airflow and Airbyte.

• Position may be eligible to work hybrid/remotely but is based out of and reports to Invesco offices in Houston, TX. Must be available to travel to Houston, Texas regularly for meetings and reviews with manager and project teams within 24-hours’ notice.

Apply online or email resume to: Niamh McNamee, Global Mobility Specialist, Niamh.McNamee@invesco.com

Full time

Employee

Yes

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.

Duties:Contribute to the development and maintenance of enterprise data platform infrastructure, building-out enterprise grade data platform capabilities that support our Client Experience, Regulatory, and Investment teams. Implement data entitlement policies using tagging, masking, and attribute-based controls. Design and manage ETL/ ELT pipelines triggered by schedules, upstream events, or business needs. Enhance data capabilities by architecting, designing and delivering data migrations to cloud solutions like snowflake, Aurora etc. Work closely with the data modeler and architecture group to establish tools and practices for enterprise data modeling needs. Manage and maintain messaging queues including infrastructure, creation of queues, topics, subscriptions, channels, remote queues and designing the secure message flow with enabling encryptions & handing the authorizations & authentication. Work closely with business stakeholders to identify required business functionality and design data platforms that Integrate seamlessly into the broader ecosystem while supporting business, functional and performance needs while ensuring operational resiliency. Develop, maintain and support data infrastructure on multiple cloud platforms. Design and implement robust security and access control mechanisms across all data platforms. Provision the infrastructure and resources with the Infrastructure-as-Code (Ia. C)Develop, implement and maintain CI/ CD pipelines to automate software build, test, and deployment processes across multiple environments. Develop and manage the containerization images and use container orchestration to deploy the images, including the scaling, rolling updated and self-healing. Integrate security scanning tools into development workflows. Optimize system performance and reliability through proactive monitoring. Develop data set patterns and processes for data discovery, modeling, mining, and archival. Ensure business continuity through disaster recovery planning and high-availability setups. Experience in data platform compliance with regulatory standards and internal governance policies, including data privacy, access control, and audit readiness. Requirements:Must have a Bachelor’s degree in Computer Science, Computer Engineering, Electrical/ Electronic Engineering or related technical field Must have 5 years of progressive experience in data engineering, positions performing/utilizing the following:Expertise in Snowflake, Airflow, AWS, and modern data stack platforms. Strong understanding of data governance, quality, and security principles. Experience with microservices in cloud environments and core AWS services. Containerization and orchestration. Building data ingestion pipeline from Rest APIs, flat files, and cloud storage. Proficiency in system monitoring, logging, and alerting tools. Experience in high-availability and disaster recovery planning. Hands-on experience with: Airflow, BizTalk, Snowflake, IIS; IBM Web. Sphere Messaging (WMQ), Amazon MQ; Postgre. SQL, SQL Server, Oracle; AWS cloud services including EC 2, Lambda, EKS, RDS, Cloud. Watch, Certificate Manager, KMS, SNS, Glue, Antenna, S 3, Route 53, ALB, and IAM; Terraform, AWS Cloud. Formation, and Git; Azure DevOps, Bitbucket, and J - Frog Artifactory; Fortify, Prisma, White. Source, and Sonar. Qube; Python, PowerShell, and MS - Build; JIRA, Confluence, and ServiceNow; Power BI and Tableau; Python, SQL and DBT; and Orchestration tolls incl Airflow and Airbyte. Position may be eligible to work hybrid/remotely but is based out of and reports to Invesco offices in Houston, TX. Must be available to travel to Houston, Texas regularly for meetings and reviews with manager and project teams within 24-hours’ notice. Apply online or email resume to: Niamh Mc. Namee, Global Mobility Specialist, Niamh. Mc. Namee@invesco.com. 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.

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