Senior Analytics Platform Engineer

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

📋 Description

• Oversee the technical architecture for the semantic and metrics layer.

• Implement infrastructure and design APIs.

• Establish pre-aggregation strategies.

• Implement authentication and row-level security measures.

• Manage Atlan, including schedule crawls and AI-driven enrichment.

• Maintain the policy center regarding data access, PII classification, and compliance.

• Operate the self-service analytics platform, covering licensing, connection management, and version upgrades.

• Enhance Amazon Redshift performance and optimize queries for semantic-layer pre-aggregation and business intelligence patterns.

• Monitor platform uptime and observability alerts.

• Track compute and licensing costs across the data stack.

• Provide technical guidance during tool migrations.

• Contribute infrastructure and operational expertise to assessments and RFP processes for new semantic and BI technologies.

• Collaborate with BI, Data Warehouse, Data Science, and ML Engineering teams.

• Take ownership of infrastructure, deployment, performance, and operations across the semantic layer, data catalog, and self-service analytics platforms.

⛳️ Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

• Over five years of experience in data engineering or platform engineering.

• Significant ownership of production data infrastructure.

• Extensive hands-on experience optimizing Amazon Redshift performance, including distribution/sort key design, compression encoding, WLM or concurrency-scaling/Serverless configuration, materialized views, result caching, and execution-plan optimization.

• Experience managing a data catalog or governance platform such as Atlan, Collibra, Alation, or DataHub.

• Experience operating an enterprise BI or self-service analytics platform such as Tableau Server/Cloud, Looker, Sigma, Omni, or Power BI.

• Familiarity with a semantic layer, metrics layer, or query acceleration tool such as Cube, Omni, dbt Semantic Layer, AtScale, or LookML, or the ability to quickly learn a new one.

• Knowledge of API layer design, authentication/authorization patterns, and implementation of row-level security.

• Experience with observability and monitoring tools such as Datadog, Metaplane, or CloudWatch, including alerting and uptime accountability.

• Proficiency in SQL or similar query languages for complex data manipulation.

• Strong programming skills in Python, Scala, or Java.

• Experience managing source code via GitHub and designing CI/CD pipelines using Jenkins, GitHub Actions, or CircleCI.

• Applicants for US-based positions must be authorized to work in the United States.

• Employment visas cannot be sponsored at this time.

🏝️ Benefits

• Medical, Dental & Vision Healthcare Plans.

• New Hire Stipend for Home Office Set-Up.

• Generous PTO.

• Paid Holidays.

• Floating Holiday.

• Volunteer Day.

• Recharge Day.

• Bonus and/or equity programs may be available depending on level and role.