Description

Lead the architectural design and technical direction of large-scale, mission-critical data systems. This role owns the full lifecycle from initial design through implementation and operation, defining technical patterns and operational guidelines for your vertical.

This role is on-site.

Responsibilities

• Design and implement data warehousing, reporting, and real-time data solutions.
• Define technical patterns, operational guidelines, and R&D initiatives.
• Provide technical oversight and coaching through design and code reviews.
• Coordinate large-scale, multi-team projects involving external dependencies.

Required Skills

• 10+ years of experience in data engineering with data warehouse technologies.
• 10+ years of experience in custom ETL design, implementation, and maintenance.
• 10+ years of experience with schema design and dimensional data modeling.
• Advanced proficiency in Python and SQL.
• Expertise in Databricks, Spark, and Hadoop.
• Experience building real-time data solutions and processes.
• Experience with MPP databases such as Redshift, BigQuery, or Snowflake.
• Experience with ETL tools like Informatica, Pentaho, SSIS, or Alooma.
• Strong computer science fundamentals, including data structures and algorithms.

Preferred Skills

• Deep knowledge of Apache Airflow and experience with Kafka, HDFS, or Hive.
• Experience with Cloud computing, machine learning, LLMs, NLP, or NoSQL.

Key Skills

Education

Any Graduate