Manager, Analytics & Solutions Architecture

BlueCloud

. Design end-to-end data and analytics architectures on Snowflake, covering ingestion, transformation, semantic layers, BI, and AI use cases .

Posted 11/2/2026full-timeRemote • ColombiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in designing and implementing data architectures on Snowflake, with a strong focus on AI and analytics solutions. Proven ability to lead technical teams, mentor engineers, and translate business objectives into actionable analytics strategies.

Highest-signal resume keywords

Snowflake ArchitectureSQL ProficiencyData Migration ExperienceAI Use Case DesignTeam Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAnalyticsBusiness IntelligencePerformance TuningCost ManagementData ModelingDbt DevelopmentProject ScopingSolution DesignKPI Development

Soft Skills

Excellent CommunicationMentoringClient EngagementFeedback ProvisionProblem Solving

Tools & Technologies

Snowflake CortexFivetranMatillionAirflowPower BITableauSigmaLookerSnowparkStreamlit

Certifications & Qualifications

Snowflake SnowPro Advanced: ArchitectSnowflake SnowPro Advanced: Data Engineer

Industry Keywords

Financial ServicesHealthcareRetailManufacturingData GovernanceData QualitySemantic Layer DesignCloud ExperienceAWSAzure

Tech Stack

Tools & technologies

AirflowAWSAzureCloudGoogle Cloud PlatformHadoopMatillionOraclePythonSnowflakeSQLTableau

About the role

Key responsibilities & impact

Design end-to-end data and analytics architectures on Snowflake, covering ingestion, transformation, semantic layers, BI, and AI use cases
Lead migrations from Oracle, Teradata, Netezza, SQL Server, Hadoop, and other legacy platforms to Snowflake
Architect and oversee AI and Generative AI solutions using Snowflake Cortex 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
Lead, mentor, and develop Data Engineers, Analytics Engineers, BI Developers, and Consultants
Run code and design reviews
Partner with Recruitment on sourcing, screening, and interviewing
Build career development plans and provide regular feedback
Translate business goals into analytics roadmaps, KPIs, and measurable outcomes
Oversee concurrent engagements, managing scope, timelines, risks, and quality
Advise client technical leads and executives and present findings, recommendations, and solution designs
Ensure dashboards, data products, and models are adopted and drive business decisions
Support Sales and Account teams with 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

Requirements

What you’ll need

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
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience
Preferred: Snowflake SnowPro Advanced: Architect or Data Engineer certification
Preferred: Hands-on experience with Snowflake Cortex, Snowpark, or Streamlit in Snowflake
Preferred: Cloud experience across AWS, Azure, or GCP
Preferred: Background in data governance, data quality, and semantic layer design
Preferred: Prior experience in a data consulting firm or Snowflake partner
Preferred: Industry exposure in financial services, healthcare, retail, or manufacturing

Benefits

Comp & perks

Remote work arrangement
Opportunity to work with Snowflake as an Elite Partner
Exposure to enterprise data, analytics, AI, and Generative AI projects
Leadership, mentoring, and team development opportunities
Participation in client workshops, partner events, and Snowflake ecosystem activities