#738 - Manager, Analytics & Solutions Architecture

BlueCloud Services, Inc.
LatAm 2
RemoteCareer-pivot friendly

Who this role is best for

Candidates with deep Snowflake and AI expertise and team leadership experience will find this hybrid technical and managerial role in LatAm 2.

Best fit for

  • Candidates with 12+ years in data engineering and client-facing consulting experience
    — “12+ years in data engineering, analytics, or BI, including significant client-facing experience”
  • Individuals with a background in leading technical teams and mentoring engineers
    — “4+ years leading technical teams, with a track record of mentoring and developing engineers”
  • Professionals who can translate business goals into technical analytics solutions
    — “Translate business goals into analytics roadmaps, KPIs, and measurable outcomes”

Things to consider

  • This role demands a high level of technical hands-on involvement alongside leadership responsibilities
    — “player-coach who can lead an analytics and data engineering team while staying hands-on as a Solutions Architect”
  • Candidates must be prepared to engage with both technical and executive stakeholders regularly
    — “Excellent communication skills with both technical and executive audiences”

How to stand out

  • Highlight your experience with Snowflake Cortex and AI use cases in enterprise settings
    — “Experience designing and delivering AI or GenAI use cases in an enterprise setting”
  • Demonstrate leadership in team development and delivery quality through code reviews and mentorship
    — “Run code and design reviews to maintain delivery quality and best practices”
  • Showcase your ability to scope projects and write Statements of Work with precision
    — “Proven experience scoping projects, estimating effort, and writing SOWs”
  • Emphasize your hands-on technical skills with Snowflake and modern data stack tools
    — “Deep hands-on Snowflake experience, including architecture, performance tuning, and cost management”
  • Demonstrate your ability to partner with Sales and guide client workshops effectively
    — “Support Sales and Account teams on pursuits: discovery, solution design, code assessments, estimation, and pricing”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • successful client projects
  • team development
  • technical leadership
Typical background
data engineeringsolution architecture

Skills & requirements

Required

Data EngineeringSolution ArchitectureTeam LeadershipClient Delivery

Preferred

Snowflake ExperienceAI And Genai Solutions

Stack & domain

SnowflakeData EngineeringAnalyticsAIGenerative AIData ModelingDbt DevelopmentPerformance TuningCost ManagementSQLPythondbtModern Data Stack ToolsLegacy Data Warehouse PlatformsBI ToolsProject ScopingSowsLeadershipMentoringCommunicationCollaborationProblem-solvingTechnical Communication

About the role

Original posting from BlueCloud Services, Inc. via Lever

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 

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 

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 

Team Leadership 

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 

Partner with Recruitment on sourcing, screening, and interviewing to grow the team 

Build career development plans and give regular, direct feedback 

Analytics & Client Delivery 

Translate business goals into analytics roadmaps, KPIs, and measurable outcomes 

Oversee delivery across concurrent engagements, managing scope, timelines, risks, and quality 

Serve as a trusted advisor to client technical leads and executives, presenting findings, recommendations, and solution designs 

Ensure dashboards, data products, and models are adopted and drive business decisions 

Pre-Sales & Practice Growth 

Support Sales and Account teams on pursuits: discovery, solution design, code assessments, estimation, and pricing 

Write and review Statements of Work and solution proposals 

Develop reusable accelerators, frameworks, and delivery methodologies 

Represent BlueCloud in client workshops, partner events, and Snowflake ecosystem activities 

What You Bring 

Required 

12+ years in data engineering, analytics, or BI, including significant client-facing experience (consulting, pre-sales, or post-sales) 

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 

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 

Proven experience scoping projects, estimating effort, and writing SOWs 

Experience designing and delivering AI or GenAI use cases in an enterprise setting 

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 

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 

What Success Looks Like 

Clients see measurable business outcomes from the solutions you architect 

Your team delivers on time, to a consistent quality standard, and grows in capability 

You are a go-to technical voice in pre-sales, helping convert opportunities into well-scoped engagements 

BlueCloud's delivery methods and accelerators improve because of your contributions

Source: BlueCloud Services, Inc. careers (Lever)

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