Sr. Consultant, Data Engineering

Hakkōda, an IBM Company, is seeking a Sr. Consultant, Data Engineer to join their team of experts. This role involves designing and developing Snowflake Data Cloud solutions, focusing on data ingestion pipelines, architecture, governance, and security while leading technical teams to support customer data initiatives.

Responsibilities:

• Work in the design and development of Snowflake Data Cloud solutions
• Develop database architectures and data warehouses
• Ensure optimal data delivery architecture is consistent throughout ongoing customer projects
• Lead technical teams
• Optimize data systems and build them from the ground up

Requirements:

• Bachelor's degree in engineering, computer science or equivalent area
• Expertise in evaluating, selecting, and integrating ingestion technologies to solve complex data challenges
• Leadership in architectural decisions for high-throughput data ingestion frameworks, including real-time data processing and analytics
• Mentorship of junior engineers in best practices for data ingestion, performance tuning, and troubleshooting
• 5+yrs in related technical roles, data management, database development, ETL, Data Warehouses and pipelines
• Experience designing and developing data warehouses (Teradata, Oracle Exadata, Netezza, SQL Server, Spark)
• Experience building ETL / ELT ingestion pipelines with tools like DataStage, Informatica, Matillion SQL scripting
• Cloud experience on AWS (Azure, GCP are nice to have as well)
• Python Scripting, Scala is required
• Ability to prepare reports and present to internal and customer stakeholders
• Track record of sound problem solving skills and action oriented mindset
• Strong interpersonal skills including assertiveness and ability to build strong client relationships
• Ability to work in Agile teams
• Experience hiring, developing and managing a technical team
• Master's Degree
• Advanced Snowflake Platform Knowledge: Experience with advanced Snowflake features, including data sharing, data pipelines, and data security
• Ability to design and implement complex data and AI usecases on Snowflake platforms
• Cloud Architecture Expertise: Experience with designing and implementing scalable and secure cloud architectures for data and AI applications
• Knowledge of cloud migration, deployment, and management best practices
• Data Engineering Best Practices: Experience with implementing data engineering best practices, including data modeling, data warehousing, and data governance
• Ability to optimize data and AI solutions for performance and scalability