Back to jobsMaster’s degree in Computer Science, Engineering, Information Systems, or a related field
Advanced proficiency in:
Advanced proficiency in distributed data systems, Spark optimization, and big data processing
Advanced proficiency in data modeling, ETL/ELT design, and performance optimization
Advanced proficiency in programming skills using Python and SQL
Experience implementing data governance frameworks, cataloging solutions, lineage tools, and security models
Experience designing data architectures in cloud or hybrid environments, including data lakes, data warehouses, or lakehouse patterns
Advanced proficiency in programming skills using Scala or PySpark
Familiarity with ML/AI pipelines, MLOps frameworks, and feature store concepts
Knowledge of CI/CD pipelines, DevOps, and Infrastructure as Code for data platforms
Familiarity with data governance, metadata management, and data quality practices in large or regulated organizations
Experience supporting analytics, reporting, or advanced use cases such as machine learning or AI enablement
Background in energy, manufacturing, logistics, or other asset‑intensive industries
A track record of staying current with emerging technologies and applying them thoughtfully to real‑world business challenges
Strong ability to analyze current‑state environments, define future‑state architectures, and guide complex change initiatives from concept through execution
Proven experience partnering with technical and business stakeholders to translate requirements into pragmatic, scalable architecture decisions
Advanced knowledge of data platforms, integration patterns, and architectural standards used in modern enterprise environments
Ability to work independently, exercise sound judgment, and provide guidance as a trusted subject‑matter expert
Job Description
- Databricks (Spark, SQL, Delta Live Tables, Unity Catalog)
- Delta Lake and lakehouse architectures
- Medallion Architecture design and implementation