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Director Data Engineering Jobs in Pennsylvania (NOW HIRING)

American Eagle Outfitters

Data Architect

Pittsburgh, PA · On-site

$62 - $79.50/hr

Director - Data Engineering Location: Pittsburgh, PA or New York, NY American Eagle is a youth culture brand grounded in denim. Our purpose extends beyond making the best jeans-we embrace self ...

Deckers

Data Architecture Lead

Indiana, PA · On-site +1

Director, Data Architecture Location: United States (Remote) Interested applicants must reside in ... Collaborate with data engineering teams to translate architecture designs into scalable physical ...

janney

The Data Engineering & Operations Leader will lead the firm's Data Engineering & Operations function, delivering scalable, secure, and reliable data platforms that support reporting, analytics ...

janney

The Data Engineering & Operations Leader will lead the firm's Data Engineering & Operations function, delivering scalable, secure, and reliable data platforms that support reporting, analytics ...

UGI

Lead Data Engineer

King Of Prussia, PA · On-site

$111K - $134K/yr

... data engineering initiatives, managing a team of 1-3 direct reports, and personally building robust data models and ETL pipelines to meet organizational goals. This role requires proficiency in ...

Prologis

$151K - $208K/yr

Job Title: Director, Data Center Construction (East) Company: Prologis A day in the life As the ... For candidates without a degree in engineering, architecture, or real estate development, at least ...

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Director Data Engineering information

See Pennsylvania salary details

$73.2K

$195.2K

$254.6K

How much do director data engineering jobs pay per year?

As of Sep 4, 2026, the average yearly pay for director data engineering in Pennsylvania is $195,177.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,800.00 and $253,600.00 per year, depending on experience, location, and employer.

What does a director of data engineering do?

A Director of Data Engineering leads the strategy, architecture, and execution of data infrastructure within an organization. They manage teams responsible for data pipelines, storage, and processing systems to ensure scalability, reliability, and performance. This role involves collaborating with business leaders, data scientists, and analysts to align data capabilities with company goals. Additionally, they oversee technology selection, governance, security, and best practices for data management.

What are the key skills and qualifications needed to thrive as a director of data engineering?

To thrive as a Director Data Engineering, you need deep expertise in data architecture, data pipeline design, large-scale database systems, and leadership, typically supported by a relevant degree and significant experience managing engineering teams. Familiarity with tools like SQL, Python, Spark, cloud platforms (AWS, Azure, or Google Cloud), and certifications such as Google Cloud Certified - Professional Data Engineer or AWS Certified Solutions Architect are often expected. Outstanding communication, strategic thinking, and the ability to mentor and inspire teams are key soft skills in this position. These skills ensure the successful design and execution of robust data solutions that drive organizational decision-making and innovation.

What are some common challenges faced by a director of data engineering, and how are they typically addressed?

A Director of Data Engineering often encounters challenges such as integrating disparate data sources, maintaining data quality and security at scale, and aligning data strategy with evolving business goals. Successfully addressing these challenges requires close collaboration with cross-functional teams, continuous upskilling in new technologies, and implementing best practices for data governance and automation. Directors must balance hands-on technical oversight with strategic planning, ensuring their teams are equipped to deliver reliable and high-performing data infrastructure. By fostering a culture of innovation and adaptability, Directors help their organizations stay ahead in a rapidly evolving data landscape.

What are the most commonly searched types of Data Engineering jobs in Pennsylvania?

The most popular types of Data Engineering jobs in Pennsylvania are:

What are popular job titles related to Director Data Engineering jobs in Pennsylvania?

For Director Data Engineering jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Director Data Engineering jobs in Pennsylvania look for?

The top searched job categories for Director Data Engineering jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Director Data Engineering jobs?

Cities in Pennsylvania with the most Director Data Engineering job openings:

Director Data Engineering jobs near you
Infographic showing various Director Data Engineering job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $195,177 per year, or $93.8 per hour.

Data Architect

American Eagle Outfitters

Pittsburgh, PA • On-site

$62 - $79.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago

Key responsibilities

  • Design and implement scalable data architecture, pipelines, and modeling strategies for the enterprise data warehouse on GCP.

  • Own the end-to-end ETL/ELT architecture, including ingestion, transformation, modeling, and orchestration.

  • Partner with business leaders and the BI team to translate strategic goals into high-quality data products and analytical solutions.

American Eagle Outfitters rating

5.6

Company rating: 5.6 out of 10

Based on 627 frontline employees who took The Breakroom Quiz

66th of 104 rated fashion retailers

Job description


Title: Data Architect
Reports To: Director - Data Engineering
Location: Pittsburgh, PA or New York, NY
American Eagle is a youth culture brand grounded in denim. Our purpose extends beyond making the best jeans-we embrace self expression, culture, optimism and connection. Through the brand platform Live Your Life, we empower our community to be who they want to be all while wearing the clothes that make them most confident.
Get to Know the Role:
We are seeking an experienced Data Architect to lead the design and implementation of our enterprise data architecture and ETL frameworks supporting our modern data warehouse in Google Cloud Platform (GCP). You will play a pivotal role in shaping our data strategy, ensuring scalable, reliable, and secure solutions that empower business users and analysts to deliver actionable insights. This role sits at the intersection of architecture, engineering, and business, collaborating closely with business stakeholders, product managers, and the business intelligence team to enable strategic analytics and decision-making across the organization.
What You'll Do:
  • Architectural Blueprinting: Design and implement scalable data architecture, pipelines, and modeling strategies that power our enterprise data warehouse on GCP (BigQuery).
  • ETL/ELT Ownership: Own the end-to-end ETL/ELT architecture, including ingestion, transformation, modeling, and orchestration.
  • Business Collaboration: Partner with business leaders and the BI team to translate strategic goals into high-quality data products and analytical solutions.
  • Governance & Integrity: Ensure data integrity and security by adhering to and upholding data governance, quality standards, and architectural best practices.
  • Innovation & Modernization: Drive modernization efforts by researching, evaluating, and implementing emerging technologies and tools across the data ecosystem.
  • Technical Mentorship: Serve as a technical mentor and guide to data engineers and cross-functional teams.
  • Platform Planning: Participate in data platform roadmap planning, vendor evaluations, and tool selection.
  • Efficiency: Promote reusable patterns, modular design, and automation wherever possible to ensure long-term scalability.

What You Bring:
  • Experience: 10+ years in data engineering, data architecture, or data analytics roles, with a minimum of 3 years specifically dedicated to a Data Architect position. Candidates must demonstrate a proven history of designing and delivering high-performance, enterprise-scale data strategies that bridge the gap between technical infrastructure and strategic business outcomes.
  • Enterprise Data Modeling: Expertise in designing and implementing enterprise data warehouses, including star/snowflake schemas and dimensional modeling techniques in a Medallion architecture.
  • Modern Architecture Standards: Proven experience implementing Lakehouse patterns (specifically using BigQuery and open table formats like Iceberg), Data Mesh (domain-driven design), and real-time streaming architectures.
  • GCP Ecosystem: Strong expertise in Google Cloud Platform, specifically BigQuery, Cloud Composer (Airflow), Dataflow, Pub/Sub, Cloud Storage, Slot Reservations/Workload Management.
  • Languages: Expert-level SQL is required; Python proficiency is a strong plus for custom operators and advanced data processing.
  • Governance: Solid understanding of data governance, metadata management, security, and compliance in cloud environments.
  • Platform Thinking & Strategy: Proven ability to balance immediate business delivery with long-term architectural health; a strategic thinker who can navigate complex stakeholder requirements to build scalable, future-proof data platforms.
  • BI Tooling: Experience working with BI tools (e.g., Tableau, Looker, AtScale, Databricks) to support self-service and enterprise reporting.
  • Communication: Ability to engage with both technical and non-technical stakeholders to translate complex requirements into impactful solutions.

Nice to Have:
  • Industry Knowledge: Background in the retail industry or high-volume transactional environments.
  • Emerging Technology: Familiarity with or vision for integrating Generative AI into data engineering workflows (e.g., using LLMs for SQL generation, automated metadata documentation, or synthetic data creation).

Perks: Why You'll Love it Here
  • Generous employee discount
  • Summer Fridays
  • Casual dress code
  • Hybrid schedule
  • FOMO events (Exciting company-wide events)

Pay/Benefits Information:
  • Actual starting pay is determined by various factors, including but not limited to relevant experience and location.
  • Subject to eligibility requirements, associates may receive health care benefits (including medical, vision, and dental); wellness benefits; 401(k) retirement benefits; life and disability insurance; employee stock purchase program; paid time off; paid sick leave; and parental leave and benefits.
  • Paid Time Off, paid sick leave, and holiday pay vary by job level and type, job location, employment classification (part-time or full-time / exempt or non-exempt), and years of service. For additional information, please click here
  • AEO may also provide discretionary bonuses and other incentives at its discretion.

About Us
Get to Know AEO
American Eagle Outfitters, Inc. (NYSE: AEO) is a leading global specialty retailer with a portfolio of beloved apparel brands including American Eagle, Aerie, OFFL/NE by Aerie, Todd Snyder and Unsubscribed.
Rooted in optimism, inclusivity and authenticity, AEO's brands empower every customer to celebrate their unique personal style by offering casual, comfortable, timeless outfitting and high-quality products that are made to last. In addition to a robust e-commerce business, we operate stores in the United States, Canada and Mexico, with merchandise available in more than 30 countries through a global network of license partners.
At AEO, we believe in the power of our people and our brands. Our Better Together culture creates a mutual desire to succeed-inspiring our community to excel, while driving future growth for the business and associates. Through experience, exposure and education we empower associates to build their unique career journey.
Inclusion, Diversity, Equity and Access at AEO
We remain committed to building an inclusive culture that is welcoming and fosters a sense of belonging for everyone. Please see more about our initiatives here.
AEO is an Equal Opportunity Employer and is committed to complying with all federal, state and local equal employment opportunity ("EEO") laws. AEO prohibits discrimination against associates and applicants for employment because of the individual's race or color, religion or creed, alienage or citizenship status, sex (including pregnancy), national origin, age, sexual orientation, disability, gender identity or expression, marital or partnership status, domestic violence or stalking victim status, genetic information or predisposing genetic characteristics, military or veteran status, or any other characteristic protected by law. This applies to all AEO activities, including, but not limited to, recruitment, hiring, compensation, assignment, training, promotion, performance evaluation, discipline and discharge. AEO also provides reasonable accommodation of religion and disability in accordance with applicable law.
Applications will be accepted until the Apply Before date (if applicable), but may be extended based on applicant volume.

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