Ab Initio Data Engineer

Cognizant is seeking an experienced Ab Initio data engineering professional to design, build, and modernize enterprise-scale data integration, warehousing, and governance solutions. The role provides technical leadership across transformation initiatives, including cloud migration and data quality, metadata, and lineage programs.

Responsibilities:

• Lead the architecture, design, and implementation of large-scale data warehouse and data integration solutions using Ab Initio
• Design and develop high-performance ETL/ELT frameworks, reusable components, and metadata-driven solutions
• Provide technical leadership and guidance to development teams throughout the project lifecycle
• Develop and maintain data governance, data lineage, metadata management, and data quality solutions using Ab Initio Metadata Hub and DQE
• Partner with business and technology stakeholders to translate requirements into scalable technical solutions
• Architect and implement enterprise data quality frameworks, business glossaries, and lineage solutions
• Design and optimize batch and real-time data processing pipelines
• Support cloud migration strategies, including modernization of on-premise ETL platforms to AWS-based environments
• Lead architecture reviews, technical assessments, and proof-of-concept initiatives
• Drive best practices for performance tuning, code reviews, CI/CD implementation, and operational excellence
• Develop and maintain RESTful and SOAP service integrations supporting enterprise data services
• Collaborate with governance and compliance teams to support regulatory initiatives involving data lineage, data quality, and metadata management
• Mentor engineers and provide technical oversight across multiple projects and programs

Requirements:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
• 15+ years of experience in data warehousing, data integration, and enterprise data architecture
• Advanced expertise with Ab Initio including: GDE; EME; Conduct>It; Query>It; Express>It; Metadata Hub; DQE/DQA; Continuous Flows
• Strong experience designing and implementing enterprise data warehouse solutions
• Experience building metadata-driven and reusable ETL frameworks using PDL metaprogramming and parameter sets
• Strong knowledge of data governance, metadata management, data lineage, and data quality implementations
• Hands-on experience with AWS cloud services and cloud migration initiatives
• Strong SQL development, query optimization, and performance tuning experience
• Experience working with Oracle, Teradata, Snowflake, or similar enterprise databases
• Experience implementing CI/CD practices using tools such as GitHub and Jenkins
• Experience leading technical teams and providing architecture guidance
• Strong understanding of SDLC methodologies including Agile and Waterfall
• Excellent communication, stakeholder management, and problem-solving skills
• Experience within Healthcare, Insurance, PBM, Banking, Investment Banking, or Financial Services industries
• Experience with data governance platforms such as Alation
• Knowledge of Databricks, Snowflake, Hadoop, HDFS, Hive, and Big Data technologies
• Experience supporting regulatory and compliance initiatives including BCBS239, GDPR, and risk management programs
• Familiarity with FHIR, HL7, or healthcare data modernization initiatives
• Experience designing cloud-native data integration solutions and microservices-based architectures
• Experience with Python, PySpark, data automation, and modern data engineering practices
• Prior consulting experience supporting large enterprise clients
• Experience creating enterprise data quality scorecards, metrics, and executive reporting solutions