Analytics Engineering Manager
Full-time
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.
Vacancy posted 3 days ago
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