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Manager, Analytics & Solutions Architecture

🔥 0 minutes ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

Where this job comes from

Posted on BlueCloud's careers page, not through a job board

First seen by Remote Rocketship 0 minutes ago

Logo of BlueCloud

BlueCloud

501 - 1000 employees

Founded 2004

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

BlueCloud is a global tech company that specializes in transforming businesses through data, analytics, and generative AI. Their services include data engineering, analytics, software design, DevOps, and data governance, leveraging revolutionary AI technology to enhance decision-making and efficiency. As a recognized Data Cloud Services Growth Partner, BlueCloud provides end-to-end cloud solutions that empower organizations to maximize their data potential and support digital transformation through scalable and high-performing global teams.

📋 Description

• 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

• 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

• 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

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