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Join Amgen's Mission to Serve Patients. In this vital role We are looking for a creative and technically skilled Specialist IS Software engineer - Data Management Lead . This role will be responsible for leading data management initiatives collaborating across business, IT, and data governance teams. The ideal candidate will have extensive experience in configuring and implementing Collibra products, established track record of building high-quality data governance and data quality solutions with a strong hands-on design and engineering skills. The candidate must also possess strong analytical and communication skills. As a Collibra Lead Developer, you will play a key role in the design, implementation, and management of our Collibra Data Governance and Data Quality platform. You will work closely with stakeholders across the organization to ensure the successful deployment of data governance processes, solutions, and best practices.
Job Responsibility:
Lead data management initiatives collaborating across business, IT, and data governance teams
Design and implement data governance frameworks, policies, and procedures within Collibra
Configure, implement, and maintain Collibra Data Quality Center to support enterprise-wide data quality initiatives
Lead the implementation and configuration of Collibra Data Governance platform
Develop, customize, and maintain Collibra workflows, dashboards, and business rules
Collaborate with data stewards, data owners, and business analysts to understand data governance requirements and translate them into technical solutions
Provide technical expertise and support to business users and IT teams on Collibra Data Quality functionalities
Collaborate with data engineers and architects to implement data quality solutions within data pipelines and data warehouses
Participate in data quality improvement projects, identifying root causes of data issues and implementing corrective actions
Integrate Collibra with other enterprise data management systems (e.g., data catalogs, BI tools, data lakes)
Provide technical leadership and mentoring to junior developers and team members
Troubleshoot and resolve issues with Collibra environment and data governance processes
Assist with training and enablement of business users on Collibra platform features and functionalities
Stay up to date with new releases, features, and best practices in Collibra and data governance
Requirements:
Master’s degree in computer science & engineering preferred with 7+ years of software development experience OR Bachelor’s degree in computer science & engineering preferred with 8+ years of software development experience
Proven experience (7+ years) in data governance or data management roles
Experience in full stack development along with Data Management
Strong experience with Collibra Data Governance platform, including design, configuration, and development
Hands-on experience with Collibra workflows, rules engine, and data stewardship processes
Experience with integrations between Collibra and other data management tools
Proficiency in SQL and scripting languages (e.g., Python, JavaScript)
Strong problem-solving and troubleshooting skills
Excellent communication and collaboration skills to work with both technical and non-technical stakeholders
Self-starter with strong communication and collaboration skills to work effectively with cross-functional teams
Excellent problem-solving skills and attention to detail
Domain knowledge of the Life sciences Industry
Recent experience working in a Scaled Agile environment with Agile tools, e.g. Jira, Confluence, etc.
Nice to have:
Deep expertise in Collibra platform including Data Governance and Data Quality
In-depth knowledge of data governance principles, data stewardship processes, data quality concepts, data profiling and validation methodologies, techniques, and best practices
Hands-on experience in implementing and configuring Collibra Data Governance, Collibra Data Quality, including developing metadata ingestion, data quality rules, scorecards, and workflows
Strong experience in configuring and connecting to various data sources for metadata, data lineage, data profiling and data quality
Experience integrating data management capabilities (MDM, Reference Data)
Good experience with Azure cloud services, Azure Data technologies and Databricks
Solid understanding of relational database concepts and ETL processes
Proficient use of tools, techniques, and manipulation including programming languages (Python, PySpark, SQL etc.), for data profiling, and validation
Data modeling with tools like Erwin and knowledge of insurance industry standards (e.g., ACORD) and insurance data (policy, claims, underwriting, etc.)
Familiarity with data visualization tools like Power BI
Willingness to work on AI Applications
Experience with popular large language models
What we offer:
Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards