[Hiring] Analytics Engineering Manager @Sequoia Connect

Role Description

We are currently searching for a Analytics Engineering Manager :

• 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.

Qualifications

• 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."

Requirements

• 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.

Work Arrangement

We value flexibility to support your lifestyle. This position is available as:

• Remote

Special Notes

Our Client is a leading organization in the financial services sector.