Data Architect​/Quality Assurance Engineer

Position: Data Architect / Quality Assurance Engineer
Description de l'entreprise

A best-in-class city that attracts best-in-class talent, Philadelphia is an incredible place to build a career. From our thriving arts scene and rich history to our culture of passion and grit, there are countless reasons to love living and working here. With a workforce of over 30,000 people, and more than 1,000 different job categories, the City of Philadelphia offers boundless opportunities to make an impact.

As an employer, the City of Philadelphia values inclusion, integrity, innovation, empowerment, and hard work above all else. We offer a vibrant work environment, comprehensive health care and benefits, and the experience you need to grow and excel. If you're interested in working with a passionate team of people who care about the future of Philadelphia, start here.

What We Offer:

Impact - The work you do here matters to millions.

Growth - Philadelphia is growing, why not grow with it?

Diversity & Inclusion - Find a career in a place where everyone belongs.

Benefits - We care about your well-being.

Description du poste

The Data Architect / Quality Assurance Engineer will help define, document, and improve the data models, standards, validation frameworks, and quality assurance practices that support the City's enterprise data integration ecosystem. This position will work across departments, programs, systems, and technical teams to understand business processes, source-system behavior, data definitions, data quality issues, and integration needs. The role will help translate that understanding into enterprise data models, data contracts, validation rules, metadata, quality checks, and architectural guardrails that make City data more consistent, trustworthy, reusable, and scalable.

The Data Architect / Quality Assurance Engineer will play a key role in reducing downstream errors, improving API and integration design, supporting data governance, and ensuring that enterprise data products are designed with quality and reuse in mind from the beginning. The position will support priority departmental and enterprise modernization efforts, while also contributing to broader enterprise data architecture and data quality work across City Geo's portfolio.

We are looking for a candidate who can bridge business process analysis, data architecture, quality assurance, and practical implementation. This role is well suited for someone who enjoys working with stakeholders to understand how data is produced and used, while also creating the standards, models, and validation practices that make data more reliable across the enterprise.

Some prominent services the team is responsible for include Data Bridge, OIT's enterprise data warehouse, AIS, the City's custom address information systems which supports public address search and internal geocoding, and Data bridge-Airflow, a custom workflow generator and orchestrator for departmental integrations ((Use the "Apply for this Job" box below).) and open data publishing. Some examples of OIT's commitment to serving the public through the effective and innovative integration of City open data include:

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www.phila.gov/solarmap

www.phila.gov/stressmap

Essential Functions

* Lead data discovery and requirements-gathering sessions with departments, programs, vendors, and

technical teams to understand business processes, source systems, data flows, data definitions, and data

quality concerns.

* Design conceptual, logical, and physical data models that support enterprise integrations, APIs,

reporting, analytics, open data, and operational systems.

* Define reusable data architecture patterns, naming conventions, entity relationships, identifiers,

reference data standards, and master data concepts.

* Develop data contracts, schema standards, field definitions, validation rules, and acceptance criteria for

new and existing integrations.

* Establish systematic data quality checks for completeness, accuracy, consistency, validity, uniqueness,

timeliness, referential integrity, and business-rule compliance.

* Work with data engineers to implement automated validation and…