Data Lineage Platform Architect/Engineer

We are seeking an experienced Data Lineage Platform Architect / Engineer to be part of an enterprise Data Lineage Enablement and Implementation team within a highly regulated banking environment. This role is responsible for enabling, validating, operationalizing, and governing end to end technical and business data lineage across the bank’s data ecosystem, supporting regulatory compliance, audit readiness, and enterprise data transparency across Risk, Finance, Compliance, and Analytics domains.

Responsibilities

Enable and operationalize enterprise wide data lineage across critical banking platforms

Implement lineage solutions using IBM MANTA and related lineage technologies

Design and validate end to end lineage for:

Application level, schema level, table level, and Critical Data Element (CDE) lineage

Support lineage coverage across:

Core banking databases (Oracle, DB2, SQL Server)

ETL and integration platforms (Informatica, Ab Initio, SAS)

File based and legacy systems (File systems, Hive, COBOL)

BI and analytics tools (Power BI, Tableau)

Configure, tune, and optimize lineage scanners for large scale, complex data environments

Partner with Risk, Finance, and Compliance teams to support:

Regulatory audits

Supervisory exams

Model risk management reviews

Validate lineage accuracy for transformations, joins, aggregations, and regulatory data flows

Analyze and resolve broken, partial, or missing lineage and metadata gaps

Collaborate with platform owners and data engineers to remediate upstream issues

Maintain detailed runbooks, operational documentation, and knowledge artifacts

Automate lineage operations including scheduling and orchestration using Arena

Optimize scan strategies to balance performance, coverage, and regulatory timelines

Enable lineage publishing and integration with Alation Data Catalog

Act as a key contributor in Agile delivery and platform governance forums

Technical requirements

Required Skills & Qualifications:

9-12 years of experience in Data Engineering, Data Architecture, or Data Governance roles

Strong hands on and design experience with data lineage platforms, including:

IBM MANTA Data Lineage (preferred)

Ab Initio Data Lineage

Informatica Data Lineage

Strong understanding of:

Data governance and metadata management concepts

Technical and business data lineage

ETL / ELT architectures and batch processing frameworks

Advanced proficiency in SQL and data dependency analysis

Strong programming skills in Python for automation and scripting

Working knowledge of GitLab and CI/CD pipelines

Experience supporting hybrid (on prem + cloud) deployments in regulated environments

Excellent communication skills with ability to work across technical and business stakeholders

Strong documentation discipline and operational ownership mindset

Additional responsibilities

Nice to Have Skills

Experience integrating lineage outputs with Alation Data Catalog

Exposure to GenAI and Agentic AI for metadata enrichment, lineage analysis, or governance automation

Familiarity with regulatory data management concepts (CDEs, RWA, regulatory reporting)

Experience working in large banking or financial services organizations

Knowledge of workflow orchestration and scheduling frameworks

Education

Bachelor's or master's degree in computer science, Information Technology, Engineering, or a related field

Education

Bachelor of Engineering