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. Requirements 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