Data Lineage Analyst (Data Governance, Metadata Management and Visualization Expert)

Job Summary

Synechron is seeking a Data Lineage Analyst to join our team to support and advance our data governance and management initiatives. The successful candidate will play a key role in mapping, analyzing, and documenting data flows across various systems to ensure transparency, compliance, and improved data quality. This role will help enhance our understanding of data assets, enabling better decision-making, regulatory compliance, and data operational efficiency.

Software Requirements

Required Software Skills:

• Data lineage tools (e.g., collibra, Informatica, Erwin, or similar)
• SQL and database querying skills
• Data modeling tools (preferably ERwin, PowerDesigner)
• Data governance platforms (preferred)
• MS Office Suite (Excel, Word, PowerPoint)

Preferred Software Skills:

• Data cataloging tools
• Data visualization tools (Power BI, Tableau)
• ETL tool experience (Informatica, Talend)

Overall Responsibilities

• Collaborate with data owners and stakeholders to document data flow and lineage across systems
• Develop, maintain, and enhance data lineage mappings and visualizations
• Support data governance initiatives by ensuring compliance with data privacy and regulatory standards
• Assist in identifying data silos, inconsistencies, and quality issues through lineage analysis
• Contribute to creating comprehensive data catalogues and metadata repositories
• Provide insights and reports on data lineage to support audits and compliance requirements
• Stay current on industry best practices, tools, and standards related to data lineage and management

Technical Skills (By Category)

Programming Languages:

• Essential: SQL
• Preferred: Python or R (for scripting and automation)

Databases/Data Management:

• Experience working with relational databases like Oracle, MySQL, SQL Server

Cloud Technologies:

• Not mandatory but familiarity with cloud data platforms (AWS, Azure, GCP) is advantageous

Frameworks and Libraries:

• Familiarity with data management frameworks or APIs for metadata extraction

Development Tools and Methodologies:

• Data mapping and modeling tools (Erwin, PowerDesigner)
• Data governance platforms (preferably Collibra, Informatica)
• Version control (GIT) or similar tools for tracking changes

Security Protocols:

• Understanding of data privacy regulations such as GDPR, CCPA, and organizational data security policies

Experience Requirements

• Minimum of 8+ years experience in data management, data governance, or related roles
• Proven experience in documenting and analyzing data lineage across complex systems
• Demonstrable understanding of data architecture, data modeling, and metadata management
• Prior experience supporting regulatory or compliance initiatives related to data
• Experience in finance, healthcare, or other regulated industries is a plus
• Alternative pathways may include extensive experience in data architecture, ETL development, or data quality roles

Day-to-Day Activities

• Map and document detailed data flows and lineage for enterprise systems
• Collaborate with data owners, architects, and analysts to validate data lineage accuracy
• Produce visualizations and reports that illustrate data flow pathways and dependencies
• Assist in establishing and maintaining data governance standards
• Conduct root cause analysis for data quality issues identified through lineage insights
• Participate in data governance forums, audits, and compliance reviews
• Remain updated on evolving data management tools, techniques, and industry best practices
• Support onboarding of new systems and data sources into the data lineage repository

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Management, or a related field
• Relevant certifications (e.g., Certified Data Management Professional - CDMP, Collibra certifications) are preferred
• Strong experience with data lineage and data governance platforms
• Excellent analytical and problem-solving skills
• Effective communication skills to convey complex data flows to diverse audiences
• Commitment to ongoing professional learning about data management standards and tools

Professional Competencies

• Critical thinking and analytical skills for assessing complex data environments
• Strong communication and stakeholder management skills
• Ability to work collaboratively within cross-functional teams
• Adaptability to learn new tools, methodologies, and adapt to organizational changes
• Attention to detail, organizational skills, and process orientation
• Ability to handle multiple priorities and meet deadlines in a fast-paced environment

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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