Data and Analytics Platform Architect

Motiva Enterprises - Houston, TX

Full-time - Senior

Houston, TX

Professional, Scientific, and Technical Services

About the position

The Data and Analytics Platform Architect at Motiva Enterprises will be responsible for evolving the enterprise data integration and analytics platform. This role involves enhancing digital capabilities, operational efficiency, and cost-effectiveness through the integration of various data products and technologies. The architect will work collaboratively with stakeholders to ensure high-quality data flows and support advanced analytics initiatives, while also establishing best practices for data governance and security.

Responsibilities

• Evolve current data and analytics platform to support various business and technology use cases.
• Ensure ETL/ELT processes and tools are efficiently providing high-quality data for advanced analytics and reporting.
• Identify data supply chain bottlenecks and enable solution patterns in the data platform, continuously monitoring and optimizing for performance.
• Evolve design and approach for data mesh that promotes decentralized data ownership and domain-oriented data product teams.
• Assist in establishing best practices for data governance, quality, and security, applying appropriate policy enforcement points in the data platform.
• Collaborate with business stakeholders to understand data and analytics requirements and translate them into solution patterns.
• Work closely with data engineers, analysts, and data scientists to ensure alignment with the data platform.
• Create documentation for data platform, integration processes, and best practices as needed.

Requirements

• Bachelor's degree in Computer Science, Data Science, or a related field.
• 10+ years of proven experience in designing/evolving data and analytics platforms.
• Solid understanding of data ingestion (ETL/ELT), medallion processing, ML Ops, and Cloud data services.
• Proven experience with 2 or more of the following: SAP Datasphere, Cognite Data Fusion (CDF), Databricks, Azure Data Services.
• Deep hands-on experience with Azure services, Spark analytics, delta lake framework, data lakehouse, and data mesh architectures.
• Strong understanding of data mesh principles and decentralized data architecture.
• Experience working on or supporting large enterprise-wide data projects and initiatives.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.

Nice-to-haves

• Master's degree
• Prior experience in Oil & Gas, Downstream is a big plus.