Analytics Engineering Manager

Sequoia Connect • Atlanta, GA

15h • Remote

About The Position

At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.
We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.
This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.
We are currently searching for a Analytics Engineering Manager:
The Challenge (Responsibilities)
Define analytics strategy, KPI frameworks, and data product standards across teams.
Own the enterprise semantic/reporting layer strategy across QuickSight/Tableau and Redshift/Athena.
Partner with data engineering and architecture on domain models, data contracts, and self-serve analytics capabilities.
Establish and enforce data quality, documentation, and review processes; own escalation and resolution paths for analytics issues.
Lead and mentor analysts; manage capacity, prioritization, and quality across multiple workstreams.
Communicate insights and trade-offs to executives; drive decision-making with clear narratives and measurable outcomes.
Optimize cost and performance of analytical workloads; recommend storage/query patterns (e.g., Redshift vs. Athena vs. row-level caching).
Ensure compliance with data governance, privacy, and security standards; steward access policies in coordination with platform teams.
Your Profile (Requirements)
Degree holders for the visa application process.
Leadership of analytics programs and teams; proven stakeholder and executive communication.
Mastery of SQL and performance engineering on Redshift; deep Athena/S3 expertise (partitioning, Parquet/ORC, Glue cataloging).
Expert BI architecture and governance in QuickSight/Tableau, including semantic layers and certification processes.
Advanced Python for analytics automation, reproducibility, and standards.
Deep understanding of dimensional modeling, domain-driven design for analytics, and metric governance.
Strong grounding in data quality frameworks, documentation practices, and analytics SDLC (versioning, review, release).
High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
Technologist DNA: A deep understanding of the difference between "coding" and "engineering."
Desired
Experience influencing data platform architecture decisions; familiarity with Redshift Spectrum, RA3 architecture, concurrency scaling.
Exposure to cost optimization and workload management at scale; capacity planning and SLA definition.
Good understanding of using AI tools like Github Copilot or similar for code productivity.
Familiarity with cloud-native foundations or AI coding assistants.
Languages
Advanced Oral English: For seamless collaboration with global teams.
Advanced Spanish.
Special Notes
Our Client is a leading organization in the financial services sector.
Work Arrangement
We value flexibility to support your lifestyle. This position is available as:
Remote

If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/

Requirements

• Degree holders for the visa application process.
• Leadership of analytics programs and teams; proven stakeholder and executive communication.
• Mastery of SQL and performance engineering on Redshift; deep Athena/S3 expertise (partitioning, Parquet/ORC, Glue cataloging).
• Expert BI architecture and governance in QuickSight/Tableau, including semantic layers and certification processes.
• Advanced Python for analytics automation, reproducibility, and standards.
• Deep understanding of dimensional modeling, domain-driven design for analytics, and metric governance.
• Strong grounding in data quality frameworks, documentation practices, and analytics SDLC (versioning, review, release).
• High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
• Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Nice To Haves

• Experience influencing data platform architecture decisions; familiarity with Redshift Spectrum, RA3 architecture, concurrency scaling.
• Exposure to cost optimization and workload management at scale; capacity planning and SLA definition.
• Good understanding of using AI tools like Github Copilot or similar for code productivity.
• Familiarity with cloud-native foundations or AI coding assistants.
• Advanced Spanish.

Responsibilities

• Define analytics strategy, KPI frameworks, and data product standards across teams.
• Own the enterprise semantic/reporting layer strategy across QuickSight/Tableau and Redshift/Athena.
• Partner with data engineering and architecture on domain models, data contracts, and self-serve analytics capabilities.
• Establish and enforce data quality, documentation, and review processes; own escalation and resolution paths for analytics issues.
• Lead and mentor analysts; manage capacity, prioritization, and quality across multiple workstreams.
• Communicate insights and trade-offs to executives; drive decision-making with clear narratives and measurable outcomes.
• Optimize cost and performance of analytical workloads; recommend storage/query patterns (e.g., Redshift vs. Athena vs. row-level caching).
• Ensure compliance with data governance, privacy, and security standards; steward access policies in coordination with platform teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager