Job Title - Striim Developer
**Remote**
Job Summary
Serve as a senior architect responsible for designing and evolving data quality and governance solutions using Striim platforms Python and RDBMS technologies in a hybrid work model. Apply deep expertise in data integration TQL and PL SQL to build scalable architectures that improve data reliability compliance and business decision making across the enterprise while collaborating with cross functional teams.
Responsibilities
- Design robust data architecture blueprints that integrate Striim data quality Striim data governance and Striim data integration capabilities to deliver highly reliable and compliant enterprise data flows that support critical analytical and operational workloads across the organization
- Lead the end to end definition of data quality frameworks using DQG architect patterns and Striim data quality modules to enforce standardized validation rules anomaly detection processes and consistent remediation workflows across diverse data domains
- Oversee the translation of complex business requirements into scalable technical solutions using Python and PL SQL so that data pipelines transformations and validations are implemented in a maintainable and performance optimized manner
- Provide technical guidance on the use of TQL for streaming data processing and rule configuration to enable near real time monitoring of data quality indicators and proactive resolution of issues before they impact downstream consumers
- Drive optimization of RDBMS and SQL based data stores by reviewing schema designs indexing strategies and query structures to ensure that data quality checks and integration workloads run efficiently and support future growth in data volume and complexity
- Collaborate closely with product owners data stewards and engineering teams to prioritize data quality and governance initiatives that directly enhance business reporting accuracy regulatory adherence and stakeholder trust in shared information assets
- Implement reusable patterns and reference solutions for hybrid work teams that standardize how Python scripts PL SQL procedures and Striim components are orchestrated versioned and monitored to maintain consistency across different projects and regions
- Guide end users and technical teams on best practices for data profiling metadata management and lineage capture within Striim platforms so that the organization gains transparent visibility into the origin transformation and usage of critical data sets
- Coordinate structured reviews of data integration pipelines to identify sources of data drift incomplete records or inconsistent transformations and then define targeted remediation steps that improve overall data reliability and reduce operational rework
- Develop detailed documentation and architectural diagrams that describe current and target state data landscapes highlighting how data governance controls and quality checks are embedded in each integration layer to meet internal and external requirements
- Partner with security and compliance stakeholders to align data governance configurations access policies and retention rules with corporate standards ensuring that sensitive data is handled responsibly and supports broader societal expectations for privacy
- Mentor team members in applying sound architectural judgment when building Python based utilities PL SQL routines and Striim flows so that solutions remain resilient testable and adaptable to evolving business strategies and technology platforms
- Analyze production incidents related to data integrity or pipeline failures by tracing issues across Python code PL SQL logic and Striim configurations and then propose targeted improvements that prevent recurrence and strengthen system robustness
Qualifications
- Demonstrate extensive professional experience in architecting and delivering enterprise data solutions using DQG architect concepts Striim data quality tooling and Striim data governance features over a sustained career spanning approximately twelve to fifteen years
- Bring advanced proficiency in Python programming applied to data engineering tasks including scripting of validation routines automation of monitoring activities and development of reusable libraries for integration and transformation workflows
- Apply strong command of PL SQL and core RDBMS concepts to design stable schemas implement complex stored procedures and ensure that database changes are executed safely and support high quality transactional and analytical data operations
- Utilize deep experience with Striim data integration to configure connectors set up streaming flows tune performance parameters and orchestrate data movement across heterogeneous systems in support of real time and batch consumption needs
- Exhibit solid understanding of SQL and related basics to craft clear efficient and well structured queries for data exploration quality assessment and diagnostics across multiple environments and deployment models
- Operate effectively in a hybrid work arrangement by communicating clearly through collaborative tools managing time and priorities with minimal supervision and coordinating seamlessly with distributed colleagues during day shift schedules
Certifications Required
Recommended certifications include Striim data platform certification and a recognized database or data engineering certification such as a major cloud data engineer credential
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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