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Data Lineage Jobs in Pennsylvania (NOW HIRING)

Data Modeler

Malvern, PA · On-site

$53.75 - $69.75/hr

... lineage, metadata management, and reference data governance. • Develop and optimize data models across relational databases, cloud platforms, and big data environments such as Snowflake, SQL Server ...

Data Architect (DWH)

Reading, PA · On-site

$61.25 - $78.75/hr

Contract * 14+ years of experience in IT * 12+ years of Data Engineering, Data Modeling, Data Warehousing, Master Data Management, Reference Data Management, Data Lineage, Data Governance and Meta ...

Cross-Functional Collaboration • Partner with Data Engineering teams to support metadata integration, data lineage, and governance automation capabilities. • Collaborate with the MDM Platform ...

Support documentation and maintenance of data lineage, classifications, and metadata standards. Ensure metadata quality, completeness, and consistency across enterprise domains. Promote enterprise ...

Support documentation and maintenance of data lineage, classifications, and metadata standards. Ensure metadata quality, completeness, and consistency across enterprise domains. Promote enterprise ...

Data Governance Analyst

Pittsburgh, PA · On-site

$100K - $120K/yr

Experience documenting business definitions, data lineage, and data ownership. * Knowledge of data quality concepts and experience analyzing data quality issues. * Strong SQL skills for data ...

Establish and maintain standards for data governance, data lineage, access controls, and lifecycle management. * Lead cross-functional initiatives that influence data investment decisions and ...

Establish and maintain standards for data governance, data lineage, access controls, and lifecycle management. * Lead cross-functional initiatives that influence data investment decisions and ...

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

... tracking data lineage during inception or root cause analysis. • Write and maintain model monitoring scripts, diagnosing issues and coordinating resolutions based on alerts. Qualifications

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Data Lineage information

What is data lineage?

Data lineage refers to the process of tracking and visualizing the flow of data as it moves through an organization’s systems, from its origin to its final destination. It helps organizations understand where data comes from, how it is transformed, and where it is stored or consumed. Data lineage is crucial for ensuring data quality, compliance, and troubleshooting data-related issues. It also supports effective data governance by providing transparency and traceability for data assets.

What are the key skills and qualifications needed to thrive as a data lineage analyst, and why are they important?

To thrive as a Data Lineage Analyst, you need strong analytical abilities, knowledge of data management principles, and experience with data mapping, usually backed by a degree in computer science, information systems, or a related field. Familiarity with data lineage tools like Collibra, Informatica, or IBM InfoSphere, and understanding of metadata management and SQL is crucial. Exceptional attention to detail, problem-solving skills, and effective communication help in collaborating with technical and business stakeholders. These skills ensure accurate tracking of data flow, compliance with regulations, and support for data-driven decision-making.

What are some common challenges faced by professionals working in data lineage roles, and how can they be addressed?

Professionals in Data Lineage roles often encounter challenges such as incomplete or inconsistent metadata, rapidly changing data environments, and difficulties in tracking data movement across complex systems. Addressing these issues typically involves collaborating closely with data engineers, architects, and business analysts to ensure accurate documentation and communication. Implementing automated data lineage tools and fostering a culture of data stewardship within the organization can also greatly improve visibility and reliability of data flows.
Infographic showing various Data Lineage job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Modeler

Malvern, PA • On-site

Trail Blazer Consulting LLC
IT Services • 51 - 200 employees

$53.75 - $69.75/hr

Other

Posted 18 days ago


Job description

Job Title

Sr. Data Modeler

Location

Malvern, PA – Hybrid – 3 days a week

Duration

6 months + Possible extension

Interview Mode

Video 2 rounds

 

 

2 manager references with LinkedIn

Key Responsibilities:

• Design, develop, and maintain conceptual, logical, canonical, and physical data models, including ERDs and dimensional/star schemas, to support asset management, wealth management, and financial advisory platforms.

• Partner with business stakeholders, data engineers, solution architects, and technical teams to translate complex financial domain requirements into scalable, enterprise data models.

• Model data across key financial subject areas, including financial profiles, advisor teams, securities, holdings, portfolio performance, and risk analytics.

• Apply data modeling best practices, including normalization, slowly changing dimensions (SCD), data lineage, metadata management, and reference data governance.

• Develop and optimize data models across relational databases, cloud platforms, and big data environments such as Snowflake, SQL Server, AWS, and Azure.

• Ensure data models comply with financial services regulatory requirements, including data privacy, auditability, and reference data integrity.

• Collaborate with ETL and data engineering teams to validate source-to-target mappings, troubleshoot data quality issues, and support reporting and analytics initiatives.

Required Qualifications:

• 8+ years of experience in enterprise data modeling and data architecture.

• Proven experience within investment management, asset management, wealth management, or broader financial services environments.

• Strong understanding of conceptual, logical, canonical, and physical data modeling methodologies.

• Hands-on experience designing dimensional (star schema) and normalized relational data models.

• Advanced SQL skills with the ability to analyze, validate, and optimize complex datasets.

• Proficiency with enterprise data modeling tools such as Erwin, ER/Studio, Hackolade, or similar platforms.

• Experience working with cloud data platforms and databases, including Snowflake, SQL Server, AWS, and Azure.

• Knowledge of data governance, metadata management, data lineage, and slowly changing dimension (SCD) concepts.

• Experience partnering with cross-functional teams to translate business requirements into scalable data solutions.

• Familiarity with financial services regulatory and compliance requirements related to data privacy, audit trails, and data integrity.