Manager, Analytics & Solutions Architecture

BrazilRemoteFull-timemid

AnalyticsData & AI

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Quick Summary

Requirements Summary

12+ years of experience in data engineering, analytics, or business intelligence, including significant client-facing experience in consulting, pre-sales, or post-sales environments.

Technical Tools

AnalyticsData & AI

We are looking for an experienced technology leader who combines strong data engineering expertise, business analytics knowledge, and hands-on solutions architecture skills. In this remote role, you will lead multidisciplinary teams while designing and overseeing enterprise data, analytics, and AI solutions built primarily on Snowflake. You will guide clients through complex data modernization initiatives, including migrations from legacy platforms and the implementation of advanced AI and Generative AI use cases. Working closely with technical and executive stakeholders, you will translate business objectives into scalable architectures and measurable outcomes. You will also contribute to business growth by supporting pre-sales activities, shaping client engagements, and developing reusable delivery practices. This is an opportunity to combine technical leadership, client advisory, and team development in a collaborative consulting environment.

Design end-to-end data and analytics architectures on Snowflake, covering data ingestion, transformation, semantic layers, business intelligence, and AI applications.
Lead migrations from legacy data platforms, including Oracle, Teradata, Netezza, SQL Server, and Hadoop, overseeing assessments, migration strategies, and cutover planning.
Architect and supervise AI and Generative AI solutions using Snowflake Cortex tools, including Cortex AI, Cortex Analyst, and Cortex Search.
Establish technical standards and best practices for data modeling, dbt development, performance optimization, cost management, 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 through regular feedback, career planning, and technical guidance.
Conduct code and architecture reviews to maintain consistent delivery quality and engineering standards.
Partner with recruitment teams on sourcing, screening, and interviewing candidates to support team growth.
Translate business objectives into analytics roadmaps, KPIs, and measurable outcomes.
Oversee multiple client engagements, ensuring effective management of scope, timelines, risks, and delivery quality.
Advise client technical leaders and executives, presenting findings, recommendations, and solution architectures.
Ensure dashboards, data products, and analytical models are adopted and support informed business decisions.
Collaborate with Sales and Account teams on discovery, solution design, technical assessments, effort estimation, and pricing.
Develop and review Statements of Work (SOWs) and technical proposals.
Create reusable accelerators, frameworks, and delivery methodologies to improve project execution.
Represent the organization in client workshops, partner events, and relevant Snowflake ecosystem activities.

Requirements

~2 min read

12+ years of experience in data engineering, analytics, or business intelligence, including significant client-facing experience in consulting, pre-sales, or post-sales environments.
At least 4 years of experience leading technical teams, with a proven ability to mentor and develop engineering professionals.
Deep hands-on expertise in Snowflake architecture, performance tuning, and cost optimization.
Expert-level SQL skills and working proficiency in Python.
Strong experience with dbt and modern data stack technologies such as Fivetran, Matillion, Airflow, or similar tools.
Experience with legacy data warehouse platforms, including Oracle, Teradata, Netezza, and SQL Server, as well as enterprise migration projects.
Practical experience with BI tools such as Power BI, Tableau, Sigma, or Looker.
Proven ability to scope projects, estimate delivery effort, and prepare Statements of Work.
Experience designing and delivering enterprise AI or Generative AI solutions.
Excellent communication and presentation skills, with the ability to engage both technical and executive audiences through architecture workshops, whiteboard sessions, and formal presentations.
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related discipline, or equivalent professional experience.

Snowflake SnowPro Advanced certification in Architecture or Data Engineering.
Hands-on experience with Snowflake Cortex, Snowpark, or Streamlit in Snowflake.
Cloud platform experience across AWS, Azure, or Google Cloud Platform (GCP).
Knowledge of data governance, data quality, and semantic layer design.
Previous experience in a data consulting firm or within the Snowflake partner ecosystem.
Industry experience in financial services, healthcare, retail, or manufacturing.