Sr. Data Modeler with Data Governance
Sr. Data Modeler with Data Governance
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Job Description
Title: Sr. Data Modeler
Location: Boston MA (Open to Remote)
Duration: Long-term Contract
Required Skills: Data Modelling Erwin Data Governance AWS
Experience Level: 12 years
JD:
Looking to add a dynamic Senior Data Modeler to Liberty Mutual team. This candidate will help build the future of financial data at Liberty Mutual. Key skillsets include Data Modeling using Erwin Data Governance using Informatica suite cross-team collaboration translating business requirements into appropriate data elements and definitions and deploying data models within AWS. Responsible for the analysis development and execution of data solutions in order to manage the information lifecycle needs of an organization. Collects integrates and analyses organizational data with the purpose of drawing conclusions about that information. Develops constructs tests and maintains data architectures for data platform databases analytical/reporting or data science systems. Establishes and builds data systems including providing standards policies practice procedures governance and quality assurance for data deliverables. Recommends methods to improve data reliability quality and efficiency. Seen as a technical expert within the team this role analyzes complex technical problems and provides solutions. May mentor junior team members.
About the job:
Designs and develops programs and tools to support ingestion curation and provisioning of complex enterprise data to achieve analytics reporting and data science.
Identifies process improvements that address complex technology gaps within a single business process.
Builds strong knowledge of technology enablers.
Analyzes and prepares complex technology enables recommendations to address gaps within a single business process.
Provides successful deployment and provisioning of data solutions to production or other required environments.
Designs and builds data provisioning workflows/pipelines physical data schemas extracts data transformations and data integrations and/or designs and builds data architecture and applications that enable reporting analytics data science and data management and improve accessibility efficiency governance processing and quality of data.
Makes recommendations for how to improve data.
Applies machine learning concepts to work as applicable.
Qualifications
Bachelors or Masters degree in technical or business discipline or equivalent experience technical degree preferred.
Minimum 5 years of data engineering / data modeling experience.
Extensive data modeling experience using industry standard methodologies and tools (Erwin UML)
Extensive experience with both relational (Postgres) and dimensional data modeling (Snowflake SSAS).
Extensive experience developing DDL for cloud platforms (Amazon Redshift Amazon Aurora Snowflake) preferred.
Extensive experience utilizing data governance (Informatica IDMC).
Experience working with AWS preferred.
Experience deploying DDL within Amazon AWS (Redshift Aurora Snowflake) preferred.
Experience building ETL pipelines preferred.
Experience building automation into data modeling and deployments.
Experience working with financial data.
Experience with insurance industry preferred.
Must be proactive and self-driven demonstrate initiative and be a logical thinker.
Strong leadership communication collaboration skills with a track record of taking solution ownership.
Excellent communication and collaboration skills.
Employment Type
Full-time
