[Remote] Principal Data Platform Engineer

Note: The job is a remote job and is open to candidates in USA. RGP is a global provider of on-demand talent, consulting, and outsourced services. The Principal Data Platform Engineer will lead the data engineering team and serve as the technical authority for enterprise data, analytics, business intelligence, and master data management. The role will own the data platform strategy, architecture, and roadmap while delivering scalable cloud-based solutions and partnering with executive stakeholders.

Responsibilities

• Lead and develop the data engineering team, providing technical direction, mentorship, and delivery oversight
• Own the strategy, architecture, and roadmap for enterprise data, analytics, BI, and master data platforms
• Design and optimize modern cloud-based data platforms leveraging GCP and the modern data stack
• Drive platform-level architectural decisions that improve scalability, reliability, governance, and business value
• Build and enhance data pipelines using tools such as BigQuery, dbt, Fivetran, Airbyte, Dagster, and Airflow
• Partner with business and technology leaders to define data strategy and align platform capabilities with organizational goals
• Lead master data management initiatives, including ownership and optimization of Pimcore or equivalent MDM platforms
• Integrate AI-powered capabilities into analytics and reporting platforms, including solutions such as Looker Agents and Hex AI
• Establish infrastructure-as-code best practices using Terraform and cloud-native technologies
• Collaborate with executive stakeholders to deliver data-driven solutions with measurable business impact

Skills

• 10-12+ years of experience in data engineering, analytics platforms, and enterprise data architecture
• 2-4+ years of people leadership experience, including leading and mentoring engineering teams
• Extensive IT experience with a strong background in data engineering, data platforms, and cloud technologies
• Expert-level proficiency in SQL, Python, and data engineering best practices
• Deep understanding of data modeling concepts, including dimensional modeling, slowly changing dimensions (SCDs), and fact/dimension design
• Hands-on expertise with modern data technologies including: + Google Cloud Platform (GCP) + BigQuery + dbt + Fivetran + Airbyte + Looker + Hex + Dagster + Airflow
• Strong experience implementing Infrastructure as Code using Terraform, particularly within GCP environments
• Experience incorporating AI capabilities into analytics and data platforms
• Proven ownership of Master Data Management platforms such as Pimcore or comparable solutions
• Demonstrated success leading technical teams and influencing cross-functional stakeholders
• Track record of driving strategic platform decisions that deliver measurable business outcomes
• Strong communication and executive partnership skills with the ability to translate complex technical concepts into business value

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• Disability insurance
• 401(k) Savings Plan
• Employee Stock Purchase Plan
• Professional Development Program
• Paid Time Off
• Paid Sick Time (in geographies where legally required)

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