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We are looking for a player-coach who can lead an analytics and data engineering team while staying hands-on as a Solutions Architect.
This role sits at the intersection of three disciplines: engineering leadership, business analytics, and solution architecture.
Design end-to-end data and analytics architectures on Snowflake
Lead migrations from legacy platforms such as Oracle and Teradata to Snowflake
Lead, mentor, and develop a team of engineers and consultants
Run code and design reviews to maintain delivery quality
Support Sales on pursuits, including scoping, estimation, and pricing
We are looking for a player-coach who can lead an analytics and data engineering team while staying hands-on as a Solutions Architect. You will own the architecture of Snowflake-based analytics and AI solutions for our clients, guide a team of engineers and consultants through delivery, and partner with Sales on scoping and winning new work.
This role sits at the intersection of three disciplines: engineering leadership, business analytics, and solution architecture. You will spend part of your time designing and reviewing solutions, part leading and developing people, and part in front of client technical and executive stakeholders.
Design end-to-end data and analytics architectures on Snowflake
Lead migrations from legacy platforms (Oracle, Teradata, Netezza, SQL Server, Hadoop) to Snowflake
Lead, mentor, and develop a team of Data Engineers, Analytics Engineers, BI Developers, and Consultants
Run code and design reviews to maintain delivery quality and best practices
Support Sales and Account teams on pursuits: discovery, solution design, code assessments, estimation, and pricing
12+ years in data engineering, analytics, or BI, including significant client-facing experience (consulting, pre-sales, or post-sales)
Strong experience with dbt and modern data stack tools (Fivetran, Matillion, Airflow, or similar)
Hands-on experience with Snowflake Cortex, Snowpark, or Streamlit in Snowflake
4+ years leading technical teams, with a track record of mentoring and developing engineers
Experience with legacy data warehouse platforms (Oracle, Teradata, Netezza, SQL Server) and migration projects
Prior experience in a data consulting firm or Snowflake partner
- Excellent communication skills with both technical and executive audiences, from whiteboard sessions to formal presentations - Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience Preferred
We help enterprise clients modernize their data platforms, build analytics that drive decisions, and put AI and Generative AI into production on Snowflake.
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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
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- Design end-to-end data and analytics architectures on Snowflake, from ingestion and transformation to semantic layers, BI, and AI use cases - Lead migrations from legacy platforms (Oracle, Teradata, Netezza, SQL Server, Hadoop) to Snowflake, including assessment, strategy, and cutover planning - Architect and oversee AI and GenAI solutions using Snowflake Cortex (Cortex AI, Cortex Analyst, Cortex Search) and related tooling
- Deep hands-on Snowflake experience, including architecture, performance tuning, and cost management - Expert SQL skills and working proficiency in Python - Strong experience with dbt and modern data stack tools (Fivetran, Matillion, Airflow, or similar)
- Strong experience with dbt and modern data stack tools (Fivetran, Matillion, Airflow, or similar) - Experience with legacy data warehouse platforms (Oracle, Teradata, Netezza, SQL Server) and migration projects - Hands-on experience with BI tools such as Power BI, Tableau, Sigma, or Looker
- Hands-on experience with Snowflake Cortex, Snowpark, or Streamlit in Snowflake - Cloud experience across AWS, Azure, or GCP - Background in data governance, data quality, and semantic layer design
- Architect and oversee AI and GenAI solutions using Snowflake Cortex (Cortex AI, Cortex Analyst, Cortex Search) and related tooling - Set technical standards for data modeling, dbt development, performance, cost optimization, security, and governance - Act as the senior technical escalation point for complex client challenges
- Expert SQL skills and working proficiency in Python - Strong experience with dbt and modern data stack tools (Fivetran, Matillion, Airflow, or similar) - Experience with legacy data warehouse platforms (Oracle, Teradata, Netezza, SQL Server) and migration projects
- Experience with legacy data warehouse platforms (Oracle, Teradata, Netezza, SQL Server) and migration projects - Hands-on experience with BI tools such as Power BI, Tableau, Sigma, or Looker - Proven experience scoping projects, estimating effort, and writing SOWs
About BlueCloud BlueCloud is a data and AI consulting firm and Snowflake Elite Partner. We help enterprise clients modernize their data platforms, build analytics that drive decisions, and put AI and Generative AI into production on Snowflake. About the Role
About the Role We are looking for a player-coach who can lead an analytics and data engineering team while staying hands-on as a Solutions Architect. You will own the architecture of Snowflake-based analytics and AI solutions for our clients, guide a team of engineers and consultants through delivery, and partner with Sales on scoping and winning new work. This role sits at the intersection of three disciplines: engineering leadership, business analytics, and solution architecture. You will spend part of your time designing and reviewing solutions, part leading and developing people, and part in front of client technical and executive stakeholders.
Solution Architecture - Design end-to-end data and analytics architectures on Snowflake, from ingestion and transformation to semantic layers, BI, and AI use cases - Lead migrations from legacy platforms (Oracle, Teradata, Netezza, SQL Server, Hadoop) to Snowflake, including assessment, strategy, and cutover planning
- Lead migrations from legacy platforms (Oracle, Teradata, Netezza, SQL Server, Hadoop) to Snowflake, including assessment, strategy, and cutover planning - Architect and oversee AI and GenAI solutions using Snowflake Cortex (Cortex AI, Cortex Analyst, Cortex Search) and related tooling - Set technical standards for data modeling, dbt development, performance, cost optimization, security, and governance
- Develop reusable accelerators, frameworks, and delivery methodologies - Represent BlueCloud in client workshops, partner events, and Snowflake ecosystem activities What You Bring
- 4+ years leading technical teams, with a track record of mentoring and developing engineers - Deep hands-on Snowflake experience, including architecture, performance tuning, and cost management - Expert SQL skills and working proficiency in Python
Preferred - Snowflake SnowPro Advanced: Architect or Data Engineer certification - Hands-on experience with Snowflake Cortex, Snowpark, or Streamlit in Snowflake
- Snowflake SnowPro Advanced: Architect or Data Engineer certification - Hands-on experience with Snowflake Cortex, Snowpark, or Streamlit in Snowflake - Cloud experience across AWS, Azure, or GCP
- Background in data governance, data quality, and semantic layer design - Prior experience in a data consulting firm or Snowflake partner - Industry exposure in financial services, healthcare, retail, or manufacturing
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About BlueCloud
BlueCloud is a data and AI consulting firm and Snowflake Elite Partner. We help enterprise clients modernize their data platforms, build analytics that drive decisions, and put AI and Generative AI into production on Snowflake.
About the Role
We are looking for a player-coach who can lead an analytics and data engineering team while staying hands-on as a Solutions Architect. You will own the architecture of Snowflake-based analytics and AI solutions for our clients, guide a team of engineers and consultants through delivery, and partner with Sales on scoping and winning new work.
This role sits at the intersection of three disciplines: engineering leadership, business analytics, and solution architecture. You will spend part of your time designing and reviewing solutions, part leading and developing people, and part in front of client technical and executive stakeholders.
What You'll Do
Solution Architecture
Team Leadership
Analytics & Client Delivery
Pre-Sales & Practice Growth
What You Bring
Required
Preferred
What Success Looks Like
Just in time
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