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Sr Enterprise Data Platform and Engineering

Academy® Sports + Outdoors Open
Katy Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at Academy® Sports + Outdoors. Katy · full-time · no salary stated · we estimate $142,325–$192,038 across the United States.

Estimated pay

Academy® Sports + Outdoors has not published a salary for this role. The figure below is our estimate, not theirs.

$142,325 – $192,038
What the middle half of senior data engineering roles in the United States paid, among postings that did state a salary.
Worked out from 526 postings that stated pay, median $162,500. Last updated Nov 6, 2026.
RoleData Engineering
SenioritySenior
LocationKaty
EmploymentFull-time
PostedSep 10, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Design and maintain cloud data services, ingestion frameworks, orchestration workflows, and ELT/ETL integration patterns
  • Improve platform reliability and security through automation, CI/CD, infrastructure-as-code, and more efficient deployments
  • Strengthen monitoring, alerting, observability, lineage, metadata, and operational support for enterprise data systems
  • Set reusable engineering standards, guide technical initiatives, and mentor teammates across development and operations
  • Work with data product, analytics engineering, and business teams to deliver trusted, governed data solutions

What you bring

  • A bachelor's degree in computer science, engineering, information systems, data engineering, or a related area
  • At least seven years in data, platform, or cloud engineering, or a related discipline
  • Experience building and supporting enterprise-scale data platforms and integrations, including work with Google Cloud Platform
  • Hands-on background with orchestration, streaming, CI/CD, infrastructure automation, and observability solutions

Who this fits

This senior role suits an engineer ready to guide technical work, mentor colleagues, and explain platform decisions to technical and non-technical partners. Regular office attendance in Katy is required, and a flexible schedule may be needed to support business needs.

From the employer

Who We Are

At Academy Sports + Outdoors our vision is to be the best sports + outdoors retailer in the country — but what truly sets us apart is our people. We’re a passionate, purpose-driven team that’s as committed to each other as we are to our customers.

We’ve spent over 80 years building a culture that puts people first. We believe in creating opportunities for growth, fostering meaningful connections, and supporting every Team Member’s journey. What fuels us? Our belief in the power of fun.

Here, you won’t just help customers gear up for their next adventure — you’ll launch one of your own. Whether you're starting out or leveling up, Academy is a place where fun can’t lose!

What You Will Work On

In this role, you shape the enterprise data platform that teams rely on for secure, scalable, and dependable data integration. Your work strengthens the infrastructure and platform capabilities that move data across the organization, helping Data Products, Analytics Engineering, and business stakeholders access trusted and governed solutions. By improving reliability, performance, security, and operational efficiency, you create a stronger foundation for enterprise data consumption.

Working across cloud-based data ecosystems, you design and maintain platform services, ingestion frameworks, orchestration workflows, and ELT/ETL integration patterns. You lead modernization through automation, CI/CD, infrastructure-as-code, and deployment optimization while advancing monitoring, observability, alerting, lineage, metadata, and operational support. You also establish engineering standards and reusable frameworks, guide technical initiatives, evaluate emerging technologies, and help the team improve platform capabilities and engineering effectiveness.

Who You Will Work With

You will collaborate with Data Products, Analytics Engineering, and business stakeholders to deliver data solutions that are trusted, governed, and accessible. These partnerships connect platform engineering decisions with the teams and business needs that depend on reliable enterprise data.

Within the Data Platform Engineering team, you will provide technical leadership, mentorship, guidance, and knowledge sharing across development and operational initiatives. You will also influence cross-functional teams by communicating technical concepts clearly to both technical and non-technical stakeholders.

What You Bring

Bring your energy, your ideas, and your love for sports and the outdoors.

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Engineering, or related field required

  • 7+ years of experience in Data Engineering, Platform Engineering, Cloud Engineering, or related disciplines

  • Experience designing, implementing, and supporting large-scale enterprise data platforms and integration solutions

  • Experience with cloud platforms, including Google Cloud Platform (GCP)

  • Experience developing and supporting data orchestration, streaming technologies, CI/CD pipelines, infrastructure automation, and observability solutions

  • Experience implementing security, governance, metadata management, lineage, and data quality frameworks

  • Retail or related industry experience preferred

  • Strong knowledge of enterprise data platform architecture, cloud-native engineering, and data integration patterns

  • Experience designing and supporting ELT/ETL frameworks, ingestion services, and enterprise data pipelines

  • Strong proficiency with SQL, Python, BigQuery scripting, or similar technologies

  • Experience with Google BigQuery, DBT Core, OpenMetadata, Cube Cloud, Composer, Datastage, Confluent Kafka, GoAnywhere, or similar technologies

  • Experience implementing CI/CD pipelines, infrastructure automation, monitoring, and observability solutions

  • Strong understanding of security, privacy, governance, disaster recovery, and operational resilience principles

  • Strong troubleshooting, analytical, and problem-solving skills in distributed and cloud-native environments

  • Ability to develop reusable frameworks, engineering standards, and best practices

  • Strong verbal, written, and interpersonal communication skills

  • Ability to influence cross-functional teams and communicate technical concepts to both technical and non-technical stakeholders

  • Ability to mentor engineers and provide technical leadership across development and operational initiatives

  • A team-first attitude; while your core duties are your priority, you're happy to step in wherever you're needed

Work Style and Physical Requirements

  • Flexible work schedule may be required to support business needs

  • Regular in-office attendance is required

  • Acceptable level of hearing and vision to perform job duties

  • Ability to adhere to company policies and professional standards

Key Skills

Automated Processes, Deployments, Best Practices, Collaboration and Teamwork, Security, Mentorship, Technology Solutions

Equal Employment Opportunity

Academy is an Equal Opportunity Employer and does not discriminate with regard to employment opportunities or practices on the basis of race, religion, national origin, sex, age, disability, gender identity, sexual orientation, or any other category protected by law.​

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.