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Sydney, New South Wales, Australia Cognizant Full timeOverview Lead Data Engineer/Data Management Lead role at Cognizant.The successful candidate will have hands-on experience with AWS Redshift, AWS DMS, AWS S3, Databricks, Fivetran, DBT & ETL tools (like Informatica/SSIS) and knowledge of Guidewire Claim Center and Policy Center for insurance domain data integration.This role involves designing and...
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Sydney, New South Wales, Australia Cognizant Full timeOverviewLead Data Engineer/Data Management Lead role at Cognizant. The successful candidate will have hands-on experience with AWS Redshift, AWS DMS, AWS S3, Databricks, Fivetran, DBT & ETL tools (like Informatica/SSIS) and knowledge of Guidewire ClaimCenter and PolicyCenter for insurance domain data integration. This role involves designing and implementing...
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Lead Data Engineer/Data Management Lead
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Sydney, New South Wales, Australia Cognizant Full timeOverviewLead Data Engineer/Data Management Lead role at Cognizant. The successful candidate will have hands-on experience with AWS Redshift, AWS DMS, AWS S3, Databricks, Fivetran, DBT & ETL tools (like Informatica/SSIS) and knowledge of Guidewire ClaimCenter and PolicyCenter for insurance domain data integration. This role involves designing and implementing...
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Lead Data Engineer/Data Management Lead
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Sydney, New South Wales, Australia Cognizant Full timeOverviewWe are looking for a highly skilled and experienced Lead Data Engineer with over 15 years of expertise in data engineering, architecture, and enterprise data management.The successful candidate will have hands-on experience with AWS Redshift, AWS DMS, AWS S3, Databricks, Fivetran, DBT & ETL tools(like Informatica/SSIS) along with knowledge of...
Lead Data Engineer/Data Management Lead
2 weeks ago
Overview We are looking for a highly skilled and experienced Lead Data Engineer with over 15 years of expertise in data engineering, architecture, and enterprise data management.
The successful candidate will have hands-on experience with AWS Redshift, AWS DMS, AWS S3, Databricks, Fivetran, DBT & ETL tools(like Informatica/SSIS) along with knowledge of Guidewire ClaimCenter and PolicyCenter for insurance domain data integration.
This role will be responsible for designing and implementing scalable data platforms, managing complex data pipelines, and ensuring adherence to best practices in data quality, governance, and security.
The position requires strong leadership capabilities to guide a team and deliver high-performance, cost-effective, and reliable data solutions.Position Summary: The Lead Data Engineer will lead the design, development, and optimization of large-scale data architectures and workflows across AWS and Databricks environments.
This role will involve integrating data from enterprise insurance systems (Guidewire ClaimCenter and PolicyCenter) into centralized analytics platforms, driving automation, and implementing governance frameworks.
The position demands a mix of technical expertise, architectural vision, and team leadership to deliver business-aligned, high-quality data solutions.
Mandatory Skills Cloud & Data Platforms: AWS Redshift, AWS DMS, AWS S3, DatabricksETL/ELT & Integration Tools: Fivetran, DBTInsurance Platforms: Guidewire ClaimCenter, PolicyCenterData Architecture & Modeling: Data warehouse & Lakehouse design, Dimensional Modeling, Performance TuningProgramming & Scripting: SQL, Python & UnixAutomation & DevOps: Infrastructure as Code (Terraform/CloudFormation), CI/CD for data workflows, Git, GitHub workflows, and CI/CD tools like JenkinsNoSQL Databases: AWS DynamoDB, MongoDB, etc.Data Governance & Quality: Data security, lineage, compliance, and quality managementLeadership: Proven track record in managing and mentoring data engineering teams Duties and Responsibilities Provide architectural expertise in defining and driving the right solution to meet the technical performance, scalability, flexibility, operations and capability needs.Lead and mentor a team of data engineers to deliver robust and scalable data solutions.Architect, design, and implement enterprise-scale data warehouse and lakehouse solutions on AWS and Databricks.Develop and maintain high-performance ETL/ELT pipelines using AWS DMS, Fivetran, and dbt.Integrate data from Guidewire ClaimCenter and Duck Creek PolicyCenter into centralized data platforms.Collaborate with business and technology stakeholders to gather requirements and deliver business-aligned data solutions.Implement and enforce data governance, security policies, and compliance frameworks.Optimize performance, cost, and scalability of AWS and Databricks environments.Monitor, troubleshoot, and maintain operational excellence for data systems.Stay up to date with emerging tools, frameworks, and best practices in data engineering.A data-driven mindset, ability to clearly communicate complex business problems and technical solutions.Ability to manage multiple priorities in a fast-paced environment.
Qualifications Salary Range: >100,000Date of Posting: 13/August/2025 Next Steps Next Steps: If you feel this opportunity suits you, or Cognizant is the type of organization you would like to join, we want to have a conversation with you
Please apply directly with us.For a complete list of open opportunities with Cognizant, visit .
Cognizant is committed to providing Equal Employment Opportunities.
Successful candidates will be required to undergo a background check.
