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Lead Data Engineer with Snowflake

Miami, Florida, United StatesHybridFull TimeLeadPosted 1 month agoVisa sponsorship available

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Role summary

Lead Data Engineer with expertise in Snowflake, responsible for designing, building, and optimizing complex data pipelines and data warehouse solutions. This role involves architecting new patterns within Snowflake, defining standards, and transitioning legacy systems to cloud-based data solutions. The Lead Data Engineer will ensure high standards in data governance, security, and validation, while collaborating with senior management to align data engineering efforts with business needs. The position requires a minimum of 7 years of experience in data warehousing or cloud data solutions, 2 years of team management in data engineering, and 2 years of Snowflake architectural experience. Strong proficiency in SQL, Python, scripting languages, and experience with tools like dbt and Matillion are essential. Experience with Agile methodologies is preferred.

Title: Lead Data Engineer – Snowflake

Location: Miami FL

Fulltime role

Role:

· Data Pipeline Development: Design, build, and optimize complex data pipelines and data

warehouse solutions (using Snowflake, dbt, Python, and

Matillion (or similar ELT/ETL tools) ).

· Architecting new patterns within Snowflake, defining standards and reference architecture

within Snowflake

· Cloud Migration: Transition legacy systems to cloud-based data solutions.

· Data Governance & Quality: Ensure high standards in data governance, security, and

validation.

· Stakeholder Collaboration: Work with senior management to align data engineering efforts

with business needs.

· Team Leadership: Lead or coach team members (particularly for Manager roles).

Skills & Experience:

· Education: Bachelor's degree in Computer Science, Business Management, or Industrial

Engineering.

· Minimum 7+ years developing and implementing data warehouses or cloud data solutions.

· 2+ years managing a team in a data engineering capacity.

· Must have 2+ years Snowflake architectural experience

· Technical Skills: Strong proficiency in SQL, Python, and scripting languages (PowerShell).

· Tools: Experience with Snowflake, dbt, Matillion, or similar ELT/ETL tools.

· Methodologies: Experience with Agile methodologies and tools like JIRA

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