Description

You will drive the technical architecture for data automation initiatives.

Responsibilities

• Define and champion the strategic architectural vision for end-to-end data automation across pipelines and platforms.
• Lead the design and implementation of scalable automation frameworks for data ingestion, transformation, and validation.
• Collaborate with stakeholders to translate business requirements into technical specifications for automation solutions.
• Serve as the principal technical mentor for the Data Quality Engineering team on architectural patterns and design principles.
• Lead the architectural strategy for Data Quality Test Automation tools, overseeing pipeline design and CI/CD integration.

Required Skills

• 15+ years of professional experience in data architecture and engineering.
• Expert-level proficiency in writing and optimizing complex SQL queries.
• Deep hands-on experience with Python for data engineering and scripting automation.
• Proven expertise in Big Data technologies, including Apache Spark and Hadoop.
• Experience with cloud environments, specifically AWS.
• Familiarity with Data Lakes, streaming platforms, and data warehousing concepts.
• Understanding of DevOps practices and CI/CD pipeline integration.
• Experience with Java development or enterprise systems.

Key Skills

Education

Bachelor's or Master's degrees