Sr Enterprise Data Platform and Engineering

1 day ago

Katy, TX, USASenior

Responsibilities

Design, implement, and support large-scale enterprise data platforms and data integration solutions.
Develop and maintain ingestion frameworks, orchestration workflows, streaming solutions, ELT/ETL frameworks, and enterprise data pipelines.
Improve platform reliability, performance, security, observability, monitoring, alerting, lineage, metadata, and operational support.
Lead automation, infrastructure-as-code, deployment optimization, and CI/CD modernization initiatives.
Implement security, governance, metadata management, lineage, data quality, disaster recovery, and operational resilience practices.
Create reusable engineering frameworks, standards, best practices, and platform capabilities.
Evaluate emerging technologies and guide technical initiatives across development and operations.
Provide technical leadership, mentorship, guidance, and knowledge sharing to engineers and cross-functional teams.
Communicate technical concepts to technical and non-technical stakeholders and influence cross-functional teams.
Support business needs through a flexible schedule and regular in-office attendance.

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Engineering, or a related field.
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.
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.
Strong knowledge of enterprise data platform architecture, cloud-native engineering, and data integration patterns.
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.
Strong understanding of security, privacy, governance, disaster recovery, and operational resilience principles.
Strong troubleshooting, analytical, problem-solving, communication, and stakeholder-influence skills.
Ability to develop reusable frameworks and engineering standards and mentor engineers.
Retail or related industry experience is preferred.
Ability to adhere to company policies and professional standards and meet stated hearing and vision requirements.

Flexible work schedule may be required to support business needs.
Regular in-office attendance is required.
The company offers opportunities for growth, meaningful connections, and support for Team Members' development.

10,000+ employees