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
