Data Engineering Consultant
Posted
Summary
Senior remote data engineering consultant (9+ yrs) who designs and delivers modern data platforms for global clients, blending hands-on engineering with solution architecture and client advisory. Core stack: Snowflake, Databricks, ETL/ELT tools like Fivetran and Alteryx, plus a cloud platform (AWS/Azure/GCP), SQL, and Python.
This is a remote position.
We are seeking a Data Engineering Consultant with 9+ years of experience in designing and delivering modern data platforms for global clients. The role requires strong hands-on expertise in Snowflake, Databricks, and ETL/ELT tools such as Fivetran and Alteryx, along with experience on cloud platforms (AWS, Azure, or GCP).
Role Overview
We are seeking a Data Engineering Consultant to lead and deliver modern data platforms and analytics initiatives for global clients. This role blends hands-on data engineering, solution architecture, and client advisory responsibilities, working closely with business and technical stakeholders to design scalable, secure, and high-performance data solutions.
Role Overview
We are seeking a Data Engineering Consultant to lead and deliver modern data platforms and analytics initiatives for global clients. This role blends hands-on data engineering, solution architecture, and client advisory responsibilities, working closely with business and technical stakeholders to design scalable, secure, and high-performance data solutions.
Requirements
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9+ years of experience in data engineering, data architecture, or analytics consulting roles
5+ years of hands-on experience implementing Snowflake, Databricks, Amazon Redshift, or Azure Synapse Analytics
Certifications in Snowflake, Alteryx, Power BI, or Tableau – Preferred
SnowPro Advanced Certification – Highly Preferred
5+ years of experience working with cloud platforms (AWS, Azure, or GCP)
Strong experience with ETL/ELT tools, including Fivetran and Alteryx
Experience designing data lake / lakehouse architectures and supporting batch and real-time pipelines
Proficiency in SQL and strong working knowledge of Python (Pandas, NumPy, matplotlib)
Good understanding of data governance, security, and compliance frameworks
Experience leading teams or workstreams in client-facing consulting or global delivery environments
Strong communication skills with the ability to engage business and executive stakeholders.
Education:
MBA or Bachelor’s degree or higher in Engineering, Data Science, Information Systems, Mathematics