Lead Data Engineer

InterSources Inc is seeking a Lead Data Engineer to shape enterprise analytics strategy and drive smarter decisions. The role involves leading the design and implementation of a modern data platform, partnering across teams to turn data into actionable insights.

Responsibilities:

• Design and lead enterprise-grade pipelines, supporting both batch and streaming data processing
• Own the full ETL/ELT lifecycle, from design through production support
• Drive data engineering standards, best practices, and architecture across the data ecosystem
• Translate business requirements into scalable, high-performance data solutions
• Mentor a small team while remaining hands-on
• Ensure data reliability, performance, governance, and cost optimization

Requirements:

• 10+ years of IT experience, including deep expertise in data engineering & ETL
• 4-6+ years of recent hands-on experience in designing, building, and scaling data pipelines
• Strong hands-on experience with Databricks (Spark, Delta Lake, Unity Catalog) and AWS (S3, IAM, networking)
• A passion for continued learning and an interest in staying current with the rapidly evolving data and analytics space
• Experience working in an Agile analytics environment where close collaboration with key stakeholders to address evolving requirements is the norm
• Expertise in SQL, Python, data modeling, and distributed processing
• Experience with CI/CD, DevOps, and modern data architecture (lakehouse, medallion, etc.)
• Strong communication skills and the ability to translate complex technical concepts into solutions that deliver business outcomes
• You're analytical, curious, and solutions-oriented
• You thrive in environments where you balance priorities and drive outcomes
• You're comfortable with ambiguity and can quickly learn the business
• You build strong partnerships and bring a 'get things done' mindset