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.
Required Qualifications:
9+ years of experience in data engineering, data architecture, or analytics consulting roles5+ years of hands-on experience implementing Snowflake, Databricks, Amazon Redshift, or Azure Synapse AnalyticsCertifications in Snowflake, Alteryx, Power BI, or Tableau - PreferredSnowPro Advanced Certification - Highly Preferred5+ years of experience working with cloud platforms (AWS, Azure, or GCP)Strong experience with ETL/ELT tools, including Fivetran and AlteryxExperience designing data lake / lakehouse architectures and supporting batch and real-time pipelinesProficiency in SQL and strong working knowledge of Python (Pandas, NumPy, matplotlib)Good understanding of data governance, security, and compliance frameworksExperience leading teams or workstreams in client-facing consulting or global delivery environmentsStrong communication skills with the ability to engage business and executive stakeholdersEducation:
MBA or Bachelor's degree or higher in Engineering, Data Science, Information Systems, Mathematics Read LessWe 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.
Required Qualifications:
9+ years of experience in data engineering, data architecture, or analytics consulting roles5+ years of hands-on experience implementing Snowflake, Databricks, Amazon Redshift, or Azure Synapse AnalyticsCertifications in Snowflake, Alteryx, Power BI, or Tableau - PreferredSnowPro Advanced Certification - Highly Preferred5+ years of experience working with cloud platforms (AWS, Azure, or GCP)Strong experience with ETL/ELT tools, including Fivetran and AlteryxExperience designing data lake / lakehouse architectures and supporting batch and real-time pipelinesProficiency in SQL and strong working knowledge of Python (Pandas, NumPy, matplotlib)Good understanding of data governance, security, and compliance frameworksExperience leading teams or workstreams in client-facing consulting or global delivery environmentsStrong communication skills with the ability to engage business and executive stakeholdersEducation:
MBA or Bachelor's degree or higher in Engineering, Data Science, Information Systems, Mathematics Read LessWe 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.
Required Qualifications:
9+ years of experience in data engineering, data architecture, or analytics consulting roles5+ years of hands-on experience implementing Snowflake, Databricks, Amazon Redshift, or Azure Synapse AnalyticsCertifications in Snowflake, Alteryx, Power BI, or Tableau - PreferredSnowPro Advanced Certification - Highly Preferred5+ years of experience working with cloud platforms (AWS, Azure, or GCP)Strong experience with ETL/ELT tools, including Fivetran and AlteryxExperience designing data lake / lakehouse architectures and supporting batch and real-time pipelinesProficiency in SQL and strong working knowledge of Python (Pandas, NumPy, matplotlib)Good understanding of data governance, security, and compliance frameworksExperience leading teams or workstreams in client-facing consulting or global delivery environmentsStrong communication skills with the ability to engage business and executive stakeholdersEducation:
MBA or Bachelor's degree or higher in Engineering, Data Science, Information Systems, Mathematics Read LessWe 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.
Required Qualifications:
9+ years of experience in data engineering, data architecture, or analytics consulting roles5+ years of hands-on experience implementing Snowflake, Databricks, Amazon Redshift, or Azure Synapse AnalyticsCertifications in Snowflake, Alteryx, Power BI, or Tableau - PreferredSnowPro Advanced Certification - Highly Preferred5+ years of experience working with cloud platforms (AWS, Azure, or GCP)Strong experience with ETL/ELT tools, including Fivetran and AlteryxExperience designing data lake / lakehouse architectures and supporting batch and real-time pipelinesProficiency in SQL and strong working knowledge of Python (Pandas, NumPy, matplotlib)Good understanding of data governance, security, and compliance frameworksExperience leading teams or workstreams in client-facing consulting or global delivery environmentsStrong communication skills with the ability to engage business and executive stakeholdersEducation:
MBA or Bachelor's degree or higher in Engineering, Data Science, Information Systems, Mathematics Read LessWe 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.
Required Qualifications:
9+ years of experience in data engineering, data architecture, or analytics consulting roles5+ years of hands-on experience implementing Snowflake, Databricks, Amazon Redshift, or Azure Synapse AnalyticsCertifications in Snowflake, Alteryx, Power BI, or Tableau - PreferredSnowPro Advanced Certification - Highly Preferred5+ years of experience working with cloud platforms (AWS, Azure, or GCP)Strong experience with ETL/ELT tools, including Fivetran and AlteryxExperience designing data lake / lakehouse architectures and supporting batch and real-time pipelinesProficiency in SQL and strong working knowledge of Python (Pandas, NumPy, matplotlib)Good understanding of data governance, security, and compliance frameworksExperience leading teams or workstreams in client-facing consulting or global delivery environmentsStrong communication skills with the ability to engage business and executive stakeholdersEducation:
MBA or Bachelor's degree or higher in Engineering, Data Science, Information Systems, Mathematics Read LessWe 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.
Required Qualifications:
9+ years of experience in data engineering, data architecture, or analytics consulting roles5+ years of hands-on experience implementing Snowflake, Databricks, Amazon Redshift, or Azure Synapse AnalyticsCertifications in Snowflake, Alteryx, Power BI, or Tableau - PreferredSnowPro Advanced Certification - Highly Preferred5+ years of experience working with cloud platforms (AWS, Azure, or GCP)Strong experience with ETL/ELT tools, including Fivetran and AlteryxExperience designing data lake / lakehouse architectures and supporting batch and real-time pipelinesProficiency in SQL and strong working knowledge of Python (Pandas, NumPy, matplotlib)Good understanding of data governance, security, and compliance frameworksExperience leading teams or workstreams in client-facing consulting or global delivery environmentsStrong communication skills with the ability to engage business and executive stakeholdersEducation:
MBA or Bachelor's degree or higher in Engineering, Data Science, Information Systems, Mathematics Read LessWe 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.
Required Qualifications:
9+ years of experience in data engineering, data architecture, or analytics consulting roles5+ years of hands-on experience implementing Snowflake, Databricks, Amazon Redshift, or Azure Synapse AnalyticsCertifications in Snowflake, Alteryx, Power BI, or Tableau - PreferredSnowPro Advanced Certification - Highly Preferred5+ years of experience working with cloud platforms (AWS, Azure, or GCP)Strong experience with ETL/ELT tools, including Fivetran and AlteryxExperience designing data lake / lakehouse architectures and supporting batch and real-time pipelinesProficiency in SQL and strong working knowledge of Python (Pandas, NumPy, matplotlib)Good understanding of data governance, security, and compliance frameworksExperience leading teams or workstreams in client-facing consulting or global delivery environmentsStrong communication skills with the ability to engage business and executive stakeholdersEducation:
MBA or Bachelor's degree or higher in Engineering, Data Science, Information Systems, Mathematics Read LessWe 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.
Required Qualifications:
9+ years of experience in data engineering, data architecture, or analytics consulting roles5+ years of hands-on experience implementing Snowflake, Databricks, Amazon Redshift, or Azure Synapse AnalyticsCertifications in Snowflake, Alteryx, Power BI, or Tableau - PreferredSnowPro Advanced Certification - Highly Preferred5+ years of experience working with cloud platforms (AWS, Azure, or GCP)Strong experience with ETL/ELT tools, including Fivetran and AlteryxExperience designing data lake / lakehouse architectures and supporting batch and real-time pipelinesProficiency in SQL and strong working knowledge of Python (Pandas, NumPy, matplotlib)Good understanding of data governance, security, and compliance frameworksExperience leading teams or workstreams in client-facing consulting or global delivery environmentsStrong communication skills with the ability to engage business and executive stakeholdersEducation:
MBA or Bachelor's degree or higher in Engineering, Data Science, Information Systems, Mathematics Read LessWe 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.
Required Qualifications:
9+ years of experience in data engineering, data architecture, or analytics consulting roles5+ years of hands-on experience implementing Snowflake, Databricks, Amazon Redshift, or Azure Synapse AnalyticsCertifications in Snowflake, Alteryx, Power BI, or Tableau - PreferredSnowPro Advanced Certification - Highly Preferred5+ years of experience working with cloud platforms (AWS, Azure, or GCP)Strong experience with ETL/ELT tools, including Fivetran and AlteryxExperience designing data lake / lakehouse architectures and supporting batch and real-time pipelinesProficiency in SQL and strong working knowledge of Python (Pandas, NumPy, matplotlib)Good understanding of data governance, security, and compliance frameworksExperience leading teams or workstreams in client-facing consulting or global delivery environmentsStrong communication skills with the ability to engage business and executive stakeholdersEducation:
MBA or Bachelor's degree or higher in Engineering, Data Science, Information Systems, Mathematics Read LessWe 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.
Required Qualifications:
9+ years of experience in data engineering, data architecture, or analytics consulting roles5+ years of hands-on experience implementing Snowflake, Databricks, Amazon Redshift, or Azure Synapse AnalyticsCertifications in Snowflake, Alteryx, Power BI, or Tableau - PreferredSnowPro Advanced Certification - Highly Preferred5+ years of experience working with cloud platforms (AWS, Azure, or GCP)Strong experience with ETL/ELT tools, including Fivetran and AlteryxExperience designing data lake / lakehouse architectures and supporting batch and real-time pipelinesProficiency in SQL and strong working knowledge of Python (Pandas, NumPy, matplotlib)Good understanding of data governance, security, and compliance frameworksExperience leading teams or workstreams in client-facing consulting or global delivery environmentsStrong communication skills with the ability to engage business and executive stakeholdersEducation:
MBA or Bachelor's degree or higher in Engineering, Data Science, Information Systems, Mathematics Read Less