Consultant, Data Engineer - Reference Data Management

Are you passionate about being part of a team at a Fortune 100 company with nearly $70 billion in annual sales that delivers extraordinary care to help individuals and businesses prepare for and protect their future? If so, then Nationwide Financial could be the place for you! At Nationwide®, “on your side” goes beyond just words. Our customers and partners are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care.

This role is an individual contributor with a hybrid work expectation (2 days per week in the office). It is our intention to fill this role in Columbus, Ohio or Scottsdale, Arizona, however, on occasion, applications from internal candidates that are working remotely who bring critical industry skills and relevant experience may be considered.

Why this role matters

Product and fund data supports important business processes across Nationwide. In this role, you’ll help develop a governed reference data capability that makes this information easier for teams and systems to use consistently. You’ll help establish trusted data definitions, clear stewardship practices, and reliable ways to share updates across the organization.

You’ll also contribute to Nationwide’s broader enterprise data strategy by helping extend this capability to additional data domains. Your work will support high-quality, traceable data and help teams deliver dependable insights and services.

The opportunity

Embedded within Nationwide Financial’s business organization, this is a hands-on technical role focused on configuring, integrating, and operating the Semarchy reference data management platform. You’ll work close to the business while serving as the technical practitioner who turns business requirements into platform models, workflows, data loads, integrations, and maintained views and APIs. Semarchy is designed to be configured around business data and stewardship needs; you’ll ensure the resulting data is reliable, secure, and easy to use. Direct Semarchy experience is valuable, alongside practical data engineering and governance skills.

You’ll work with business data owners and stewards, who define the meaning of each data set, identify authoritative sources, and make business decisions about what is correct. You’ll configure and support the solution based on those decisions, including business rules and access controls, and stay engaged as data changes and issues arise. Business ownership stays with the domain; your contribution is the technical implementation and operation of the capability.

What you’ll do

Semarchy Consultant

• •Partner with business data owners and stewards to understand reference data needs, then translate their decisions into Semarchy models—for example, product and fund entities, attributes, relationships, and hierarchies.
• •Configure validation and match/merge rules, along with authoring and approval workflows, so updates follow agreed business rules and stewardship practices.
• •Recommend practical role and access patterns for people who create, review, and approve data; support new domains and users as they adopt the platform.

Semarchy Data Engineer

• •Build and operate data loads and integrations that bring product and fund reference data from source systems into Semarchy and deliver approved data to Snowflake, the primary consumption path for most downstream applications, while supporting other required integrations.
• •Maintain views and APIs that provide governed access where needed, without coupling consumers to the platform’s internal tables—for example, supporting an application that retrieves current, approved fund codes.
• •Monitor pipelines, investigate failures, and reconcile records across sources, Semarchy, and destinations; add checks for accuracy, completeness, and timeliness.
• •Break requirements into technical work, estimate delivery, and apply secure engineering practices as data flows and integrations are built and maintained.

Data Governance Advisor

• •Work with data owners and stewards to document definitions and identify critical data elements—for example, clarifying what a product or fund code represents and the rules it must meet.
• •Support quality profiling, lineage, metadata, and documentation so users can understand where reference data comes from, what it means, and how it should be used.
• •Help embed governance standards in Semarchy workflows and quality checks, and partner with governance teams to address data issues and support adoption.

What success looks like

Business and technology teams can rely on well-defined, governed product and fund data; updates are more controlled and traceable; and data can be shared across systems with fewer manual steps and less dependence on individual knowledge.

This role does not qualify for employer sponsored work authorization. Nationwide does not participate in the STEM OPT extension program.

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Job Description Summary

Nationwide’s industry-leading workforce is passionate about creating data solutions that are secure, reliable and efficient in support of our mission to provide extraordinary care. Nationwide embraces an agile work environment and collaborative culture through the understanding of business processes, relationship entities and requirements using data analysis, quality, visualization, governance, engineering, AI engineering, and machine learning to produce targeted data solutions. If you have the drive and desire to be part of a future-forward data-enabled culture, we want to hear from you!

As a Data Engineer, you’ll be responsible for acquiring, curating, and publishing data for analytical or operational uses. Data should be in a ready-to-use form that creates a single version of the truth across all data consumers, including business users, data scientists, and Technology. Ready-to-use data can be for both real-time and batch data processes and may include unstructured data. Successful data engineers have the skills typically required for the full lifecycle of software engineering development from translating requirements into design, development, testing, deployment, and production maintenance tasks. You’ll have the opportunity to work with various technologies including big data, relational and SQL databases, unstructured data technology, and programming languages.

Job Description

Key Responsibilities:

Consults on complex data product projects by analyzing moderate to complex end-to-end data product requirements and existing business processes to lead the design, development and implementation of data products.

Responsible for producing data building blocks, data models, and data flows for varying client demands such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research and exploration.

Translates business data stories into a technical story breakdown structure and work estimate so value and fit can be assessed for a schedule or sprint.

Responsible for applying secure software and systems engineering practices throughout the delivery lifecycle to ensure our data and technology solutions are protected from threats and vulnerabilities.

Creates business user access methods to structured and unstructured data by using techniques such as mapping data to a common data model, NLP, transforming data as necessary to satisfy business rules, AI, statistical computations, and validation of data content.

Builds data cleansing, imputation, and common data meaning and standardization routines from source systems by understanding business and source system data practices and by using data profiling and source data change monitoring, extraction, ingestion, and curation data flows.

Facilitates medium- to large-scale data engineering using cloud technologies – Azure and AWS (i.e. Redshift, S3, EC2, Data-pipeline and other big data technologies).

Collaborates with the enterprise DevSecOps team and other