Senior Data Engineer

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

We are in search of a skilled Senior Data Engineer to join our expanding team of experts. This role will be pivotal in the design and development of Snowflake Data Cloud solutions, encompassing responsibilities such as constructing data ingestion pipelines, establishing sound data architecture, and implementing stringent data governance and security protocols.

The ideal candidate brings experience as a proficient data pipeline builder and adept data wrangler, deriving satisfaction from optimizing data systems from their foundational stages. Collaborating closely with database architects, data analysts, and data scientists, the Senior Data Engineer will play a crucial role in ensuring a consistent and optimal data delivery architecture across ongoing customer projects.

This position demands a self-directed individual comfortable navigating the diverse data needs of multiple teams, systems, and products. If you are enthusiastic about the prospect of contributing to a startup environment and supporting our customers in their next generation of data initiatives, we invite you to explore this opportunity.

This position is for Hakkoda, an IBM company, a Snowflake specialist that joined IBM through acquisition last year.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• 5+ years in data engineering, data warehousing, or analytics engineering with hands-on platform implementation experience
• Expert-level Snowflake knowledge: warehouses, clustering, RBAC, performance optimization, Streams, Tasks, and external volumes
• Proficiency in dbt (Core or Cloud) for data transformation, modeling, testing, and CI/CD integration; strong SQL and Python development skills
• Demonstrated experience designing and implementing Medallion architecture (Bronze/Silver/Gold) for data platforms on Snowflake
• Strong fundamentals in cloud platforms (AWS, Azure, or GCP) including object storage, compute, IAM, and networking; version control (GitLab CI/CD) in production environments.

• Snowflake SnowPro certification or equivalent cloud platform certification (AWS Data Analytics, Azure Data Engineer, GCP Professional)
• Experience mentoring junior engineers and contributing to best practices and architecture decisions
• Infrastructure-as-code experience (Terraform) for Snowflake and cloud resource management.