IBM
Position
Sr. Consultant, Data Engineering
at
IBM
About the role At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invite innovation. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
Responsibilities
Design and develop Snowflake Data Cloud solutions for data ingestion pipelines, data architecture, data governance and security.
Build and maintain data warehouses and analytics systems in the cloud on AWS, Azure, GCP, and Snowflake.
Ensure optimal data delivery architecture is consistent throughout ongoing customer projects.
Lead technical teams, guiding the execution of data migration and optimization initiatives.
Collaborate with clients and internal stakeholders to translate business requirements into scalable data solutions.
Support next generation data initiatives for IBM and its customers.
Qualifications
Bachelor’s degree in engineering, computer science or equivalent.
5+ years of experience in related technical roles, data management, database development, ETL and data warehouses.
Expertise in evaluating, selecting and integrating ingestion technologies for 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.
Experience designing and developing data warehouses (Teradata, Oracle Exadata, Netezza, SQL Server, Spark).
Experience building ETL/ELT ingestion pipelines with tools such as DataStage, Informatica and Matillion.
Strong SQL scripting skills.
Cloud experience on AWS; Azure and GCP are a plus.
Python and Scala scripting 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, assertiveness and ability to build strong client relationships.
Agile team experience.
Experience hiring, developing and managing a technical team.
Location This role can be performed from anywhere in the US.
Recruitment Process As of April 2025, Hakkoda has been acquired by IBM and will be integrated into the IBM organization. Your recruitment process will be managed by IBM. IBM will be the hiring entity.
Seniority Level Mid‑Senior level
Employment Type Full‑time
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at
IBM
About the role At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invite innovation. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
Responsibilities
Design and develop Snowflake Data Cloud solutions for data ingestion pipelines, data architecture, data governance and security.
Build and maintain data warehouses and analytics systems in the cloud on AWS, Azure, GCP, and Snowflake.
Ensure optimal data delivery architecture is consistent throughout ongoing customer projects.
Lead technical teams, guiding the execution of data migration and optimization initiatives.
Collaborate with clients and internal stakeholders to translate business requirements into scalable data solutions.
Support next generation data initiatives for IBM and its customers.
Qualifications
Bachelor’s degree in engineering, computer science or equivalent.
5+ years of experience in related technical roles, data management, database development, ETL and data warehouses.
Expertise in evaluating, selecting and integrating ingestion technologies for 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.
Experience designing and developing data warehouses (Teradata, Oracle Exadata, Netezza, SQL Server, Spark).
Experience building ETL/ELT ingestion pipelines with tools such as DataStage, Informatica and Matillion.
Strong SQL scripting skills.
Cloud experience on AWS; Azure and GCP are a plus.
Python and Scala scripting 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, assertiveness and ability to build strong client relationships.
Agile team experience.
Experience hiring, developing and managing a technical team.
Location This role can be performed from anywhere in the US.
Recruitment Process As of April 2025, Hakkoda has been acquired by IBM and will be integrated into the IBM organization. Your recruitment process will be managed by IBM. IBM will be the hiring entity.
Seniority Level Mid‑Senior level
Employment Type Full‑time
#J-18808-Ljbffr