Manager, Analytics & Solutions Architecture

Remote; San Francisco (CA); Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Fully remote work

Job summary

Partner Company seeks a seasoned Manager, Analytics & Solutions Architecture to lead enterprise data, analytics, and AI initiatives in a remote role based in Brazil for a partner with global engagements.

Join a cross-functional team to design scalable Snowflake-based architectures, oversee migrations from legacy systems, and guide pre-sales activities, workshops, and strategy development. Strong leadership, client advisory, and executive-facing communication are essential.

Qualifications

• 12+ years in data engineering, analytics, or BI with client-facing consulting experience.
• 4+ years leading technical teams and mentoring engineers.
• Deep hands-on Snowflake architecture, performance tuning, and cost optimization.
• Expert SQL and working Python proficiency.
• Experience with dbt and modern data stack tools (Fivetran, Matillion, Airflow).
• Experience migrating from legacy data warehouses (Oracle, Teradata, Netezza, SQL Server).
• Experience with BI tools (Power BI, Tableau, Sigma, Looker).
• Ability to scope projects, estimate delivery effort, and prepare SOWs.
• Experience delivering enterprise AI or Generative AI solutions.
• Excellent communication for technical/workshop presentations.
• Bachelor's degree or equivalent professional experience.

Responsibilities

• Design end-to-end data and analytics architectures on Snowflake.
• Lead migrations from legacy data platforms with migration planning.
• Architect AI/Generative AI solutions using Cortex tools.
• Set standards for data modeling, dbt development, and governance.
• Mentor Data Engineers, Analytics Engineers, BI Developers, and Consultants.
• Conduct architecture reviews to ensure delivery quality.
• Support pre-sales activities and develop reusable accelerators and delivery frameworks.
• Represent the organization in client workshops and Snowflake ecosystem events.

Skills

Snowflake architecture

SQL

Python

dbt

Cloud platforms (AWS/Azure/GCP)

Education

Bachelor's degree in CS/Engineering/Math

Tools

Fivetran

Matillion

Airflow

Snowflake Cortex

Snowpark

Streamlit

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Manager, Analytics & Solutions Architecture based in Brazil.

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.

Accountabilities:

• 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:

• 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.

Preferred qualifications:

• 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.

Benefits:

• Fully remote work arrangement.
• Opportunity to lead enterprise‑scale data modernization, analytics, and AI initiatives.
• Exposure to diverse client engagements and complex technical challenges.
• Opportunity to develop high‑performing technical teams and influence engineering practices.
• Involvement in pre‑sales, solution strategy, and the development of reusable technical assets.
• Salary, healthcare coverage, paid time off, and additional compensation details are not specified in the job description.