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#694 Sr Data Engineers

Role overview

Qualifications

  • 7+ years of experience in Data Engineering, Data Architecture, or Analytics Engineering.
  • Strong hands-on Snowflake and SQL experience.
  • Strong understanding of dimensional modeling, analytical data structures, and data architecture.
  • Experience with dbt or similar transformation technologies.

Responsibilities

  • Design and develop data transformations within Snowflake using SQL, dbt, Dynamic Tables, Streams/Tasks, or similar technologies.
  • Build and maintain Silver and Gold layer datasets, dimensional models, data marts, and analytical structures.
  • Develop semantic views/models that provide consistent business definitions, metrics, dimensions, and relationships.
  • Translate business requirements into scalable data models and transformation logic.

Key facts

Hard skills

Other skills

  • Relationship Building

About the company

Blue.cloud logo

Blue.cloud

IT Services & IT Consulting

BlueCloud provides tailored solutions for its clients through the implementation of leading cloud technologies. They are a cloud-only transformation company that enables enterprises to swiftly transform to cloud. With a vision to lead cloud solutions focusing on innovation, customer service, and employee engagement, BlueCloud implements practical business strategies and technology solutions for clients. Their services include digital strategy, data engineering and analytics, digital services, and cloud operation services. BlueCloud originated in 2004 as Bluenet but has evolved from the data and analytics space. They currently offer services to clients ranging from Fortune 500 enterprises to mid-market companies and startups. BlueCloud company headquarters are located in Tampa Bay, FL. For more information, visit www.blue.cloud.

Company details

Company typeSME
IndustryIT Services & IT Consulting
Company size201 - 500

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Job description

BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year. We help enterprise organizations move from fragmented legacy systems to unified, AI-ready Snowflake platforms — delivering data migration, engineering, governance, BI & analytics, and AI/ML solutions 40–50% faster than traditional approaches.

With 450+ Snowflake consultants, 200+ enterprise transformations under our belt, and a 100% Snowflake focus, we combine advisory-led thinking with AI-powered accelerators to turn months of work into weeks of results. Our clients span Financial Services, Healthcare & Life Sciences, Retail, Manufacturing, Energy, and more — and the outcomes speak for themselves: 97% faster reports, 40% fraud reduction, $1.5M in client savings, and 10× client growth.

We don't just strategize — we execute.


Key Responsibilities
 

  • Design and develop data transformations within Snowflake using SQL, dbt, Dynamic Tables, Streams/Tasks, or similar technologies.
  • Build and maintain Silver and Gold layer datasets, dimensional models, data marts, and analytical structures.
  • Develop semantic views/models that provide consistent business definitions, metrics, dimensions, and relationships.
  • Translate business requirements into scalable data models and transformation logic.
  • Support data consumption across Power BI, Tableau, Sigma, Snowflake Cortex, Snowflake Intelligence, and other analytics/AI platforms.
  • Optimize Snowflake models and transformations for performance, scalability, and cost.
  • Implement data quality, governance, documentation, and business logic within curated datasets.
  • Partner with business stakeholders, BI teams, architects, and data engineers to design solutions that enable self-service analytics and AI.
  • Help establish best practices for data modeling, transformation, semantic layers, and Snowflake architecture.

Required Qualifications
 

  • 7+ years of experience in Data Engineering, Data Architecture, or Analytics Engineering.
  • Strong hands-on Snowflake and SQL experience.
  • Strong understanding of dimensional modeling, analytical data structures, and data architecture.
  • Experience with dbt or similar transformation technologies.
  • Experience developing semantic layers, semantic views, or business-facing data models.
  • Ability to translate complex business requirements into scalable technical solutions.
  • Strong understanding of data quality, governance, and performance optimization.

Preferred Experience
 

  • Snowflake Cortex, Cortex Analyst, or Snowflake Intelligence
  • Snowflake Dynamic Tables
  • Power BI, Tableau, or Sigma
  • GenAI / conversational analytics
  • YAML-based semantic models
  • Azure cloud data platforms
  • Medallion architecture (Bronze/Silver/Gold)
  • Collibra or other data governance platforms
We are looking for someone who is experienced in building lasting relationships and is passionate about making meaningful contributions to our team. Don't be mistaken, this is a challenging career path but also highly rewarding. Are you up for the challenge? If so, stop reading and start applying.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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