Data Ideology, LLC

Senior Data Engineer, Snowflake

Data Ideology, LLC

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Senior

Tech Stack

AirflowAWSAzureCloudETLGoogle Cloud PlatformInformaticaPythonSQL

About the role

  • Design and build scalable, secure, and cost-effective data architectures in Snowflake, aligned with industry and client best practices
  • Implement data pipelines using ETL/ELT tools such as dbt, Python, CloverDX, and cloud-native services
  • Conduct technical discovery sessions to understand client goals and translate them into architectural designs and project plans
  • Collaborate with pre-sales and account teams to scope work, define solutions, and estimate effort for Statements of Work (SOWs)
  • Serve as a Snowflake SME, providing guidance on performance tuning, cost optimization, access control, data sharing, and workload management
  • Lead and execute data platform modernization and migration initiatives, moving clients from legacy systems to Snowflake-based solutions
  • Integrate Snowflake environments with BI tools, data governance platforms, and AI/ML frameworks
  • Contribute to internal IP, including templates, frameworks, accelerators, and proofs of concept (POCs)
  • Support delivery engagements by implementing scalable solutions and continuously improving architectures based on business needs
  • Mentor junior team members and contribute to ongoing knowledge sharing across the engineering team
  • Hybrid pre-sales and delivery, client-facing consultative role

Requirements

  • 7+ years of experience in data engineering, data warehousing, or data architecture roles
  • 3+ years of hands-on Snowflake experience including advanced features such as performance tuning, access control, data sharing, Snowpark, or Snowpipe
  • Strong experience with SQL, Python, and DBT in production environments
  • Proficiency in cloud infrastructure such as AWS, Azure, or GCP
  • Experience with modern data tooling such as Airflow, Fivetran, Power BI, Looker, or Informatica
  • Demonstrated success in client-facing delivery roles or solution architecture in consulting or services environments
  • Deep understanding of cloud-native architectures, data modeling, and data pipeline orchestration
  • Experience with streaming data, unstructured data, or real-time analytics is a plus
  • Excellent verbal and written communication skills and the ability to present to both technical and executive stakeholders
  • Proven ability to influence client architecture decisions and lead data modernization initiatives
  • SnowPro Core Certification (Required)
  • One or more SnowPro Advanced Certifications such as Data Engineer, Architect, Snowpark, or Data Analyst
  • Additional cloud or data platform certifications such as AWS, Azure, dbt, or Databricks are a plus