Analytics Engineering Manager

This is a fully remote position, open to applicants in Mexico.

📋 Description

• Develop the analytics strategy, KPI frameworks, and data product standards across various teams.

• Oversee the enterprise semantic and reporting layer strategy for QuickSight/Tableau and Redshift/Athena.

• Collaborate with data engineering and architecture teams on domain models, data contracts, and self-service analytics capabilities.

• Establish and uphold data quality, documentation, and review processes.

• Manage escalation and resolution paths for analytics-related issues.

• Lead and provide mentorship to analysts.

• Oversee capacity, prioritization, and quality across multiple workstreams.

• Convey insights and trade-offs to executives effectively.

• Facilitate decision-making through clear narratives and measurable outcomes.

• Enhance the cost efficiency and performance of analytical workloads.

• Suggest storage and query patterns, including those for Redshift, Athena, and row-level caching.

• Ensure adherence to data governance, privacy, and security standards.

• Manage access policies in collaboration with platform teams.

⛳️ Requirements

• Hold a degree to meet visa application criteria.

• Lead analytics programs and teams effectively.

• Demonstrate proven communication skills with stakeholders and executives.

• Exhibit mastery in SQL and performance engineering on Redshift.

• Possess in-depth expertise in Athena/S3, including partitioning, Parquet/ORC, and Glue cataloging.

• Have expert knowledge in BI architecture and governance in QuickSight/Tableau, focusing on semantic layers and certification processes.

• Utilize advanced Python skills for analytics automation, reproducibility, and adherence to standards.

• Have a comprehensive understanding of dimensional modeling, domain-driven design for analytics, and metric governance.

• Possess a strong foundation in data quality frameworks, documentation practices, and analytics SDLC, including versioning, review, and release processes.

• Exhibit resilience, emotional intelligence, and a focus on agile delivery methodologies.

• Have a thorough understanding of the distinction between coding and engineering.

• Experience in influencing data platform architecture decisions.

• Familiarity with Redshift Spectrum, RA3 architecture, and concurrency scaling.

• Exposure to cost optimization and workload management at scale, including capacity planning and SLA definition.

• Good understanding of AI tools such as GitHub Copilot or similar applications.

• Familiarity with cloud-native foundations or AI coding assistants.

• Advanced proficiency in spoken English.

• Advanced proficiency in Spanish.

🏝️ Benefits

• Opportunity for remote work.

• Flexible work support options.

• Continuous learning and professional development through impactful projects.

• Engagement with complex engineering challenges and access to international expertise networks.