Job Summary
Serve as a senior product architect for institutional solutions shaping end to end data and reporting capabilities using Oracle and Eagle platforms for global investment services clients. Partner with product engineering and operations teams to design scalable data models streamline reference data flows and deliver robust reporting while working in a hybrid day shift model with no travel expectations.
Responsibilities
- Drive holistic product architecture for investment services solutions that leverage Oracle and Eagle platforms to deliver reliable data management and reporting outcomes for global stakeholders.
- Define target state architectures for Eagle data management components that optimize ingestion validation and distribution of investment data across complex enterprise ecosystems.
- Design scalable Eagle data model structures that support high volume transaction processing flexible analytics and regulatory reporting with strong focus on data quality.
- Coordinate closely with product managers to translate business roadmaps into actionable architectural blueprints and solution options that balance value risk and cost.
- Guide engineering teams on implementation patterns for Eagle data mart and reports to ensure consistent performance maintainability and reusability across portfolios and asset classes.
- Establish standards for Eagle reference data configuration in the reference data center to support accurate security master pricing and classification domains across upstream and downstream systems.
- Review solution designs technical specifications and code level implementation for Oracle and Eagle components to ensure alignment with architecture principles and regulatory expectations.
- Collaborate with enterprise architects database specialists and data governance partners to drive consistent data definitions lineage tracking and stewardship practices across investment data assets.
- Evaluate performance scalability and resilience of critical Oracle and Eagle workloads by defining benchmarks reviewing capacity models and recommending tuning or re platform strategies.
- Develop migration and modernization approaches for legacy data and reporting solutions into Eagle data management and Oracle ecosystems while minimizing operational risk and data loss.
- Document architecture decisions integration patterns and reference implementations in a clear and reusable manner to support knowledge sharing and onboarding of new team members.
- Engage with security and risk teams to embed privacy controls access policies and audit capabilities into all Oracle and Eagle data flows and reporting solutions.
- Partner with operations and support teams to define monitoring alerting and incident response models that protect data integrity and ensure high availability of critical investment reporting.
Qualifications
- Apply extensive experience in Oracle databases and related tooling to design robust schemas performance optimized queries and resilient batch processes that underpin Eagle data solutions.
- Use deep expertise in Eagle data mart and reporting capabilities to create reporting architectures that support complex investment accounting performance and client reporting needs.
- Leverage practical knowledge of Eagle reference data capabilities to configure security master and pricing workflows that maintain consistent reference data across multiple business lines.
- Employ strong background in Eagle data management to design ingestion enrichment and distribution patterns that scale with growing volumes of positions transactions and market data.
- Draw on experience with Eagle data model structures to map business requirements into logical and physical designs that support both operational and analytical use cases.
- Apply proven background of thirteen to seventeen years in enterprise data platforms and product architecture to navigate stakeholder expectations and deliver resilient data products.
- Demonstrate strong communication and collaboration capabilities to work effectively with cross functional teams in a hybrid work model during day shift schedules.
Certifications Required
Preferred certifications include Oracle Certified Professional Database certification and Eagle specific platform training or accreditation.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Language requirements vary depending on roles, but we ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
