remote
Data Architect - ExxonMobil
Software Engineer
Lead enterprise data architecture, designing scalable data pipelines and models across cloud platforms, leveraging SQL, NoSQL, ETL, and Big Data technologies to drive insights and support sustainable energy solutions.
About the role
Key Responsibilities
- Design and implement enterprise‑wide data architecture, ensuring scalability, performance, and security across cloud environments.
- Develop and maintain robust ETL pipelines, integrating diverse data sources into unified data lakes and warehouses.
- Collaborate with data scientists, engineers, and business stakeholders to define data models, schemas, and governance policies.
- Optimize data storage and retrieval using SQL, NoSQL, and Big Data technologies, ensuring high availability and low latency.
- Lead data quality initiatives, establishing monitoring, validation, and remediation processes.
- Advise on cloud strategy (AWS/GCP) and emerging data technologies to support innovation and sustainability goals.
Requirements
- 5+ years of experience in data architecture, data modeling, and large‑scale data integration.
- Proficiency with SQL, NoSQL, and ETL tools (e.g., Informatica, Talend, Airflow).
- Hands‑on experience with cloud data services (AWS Redshift, S3, BigQuery, GCS).
- Strong programming skills in Python for data processing and automation.
- Excellent communication and stakeholder management abilities.