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.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
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