Job Overview
Location
US- remote
Job Type
Full-time
Category
Data Engineer
Date Posted
May 21, 2026
Full Job Description
đź“‹ Description
- • Lead, mentor, and grow a team of senior data and analytics engineers, including hiring, performance management, career development, and setting technical standards.
- • Define and own the data engineering and analytics roadmap aligned with company goals, prioritizing investments in data platform capabilities, reporting infrastructure, and cross-functional analytics initiatives.
- • Oversee the design, reliability, scalability, and governance of the company’s core data infrastructure including data warehouses, data lakes, ETL/ELT pipelines, orchestration systems, semantic layers, and BI tooling.
- • Ensure business stakeholders across product, operations, finance, sales, marketing, and executive leadership have accurate, timely, and actionable dashboards, metrics, and ad hoc analysis to drive data-informed decisions.
- • Drive the organization-wide adoption of self-service analytics by building trusted, well-documented datasets and enabling access through AI-powered natural language interfaces with strong governance controls.
- • Establish and enforce enterprise-wide standards for data accuracy, lineage, documentation, access controls, privacy, security, auditability, and compliance with regulations including SOX, SOC2, GDPR, and data residency requirements.
- • Partner directly with executives and cross-functional teams to translate business objectives into data strategy, analytics products, and measurable outcomes that improve operational efficiency and customer experience.
- • Maintain and evolve the modern data stack including tools such as Snowflake, BigQuery, Redshift, Databricks, dbt, Airflow, Fivetran, Looker, Tableau, and Power BI to support scalable and secure data workflows.
- • Implement robust data quality practices including monitoring, validation, and anomaly detection to ensure trust in all analytical outputs used for critical business decisions.
- • Own the end-to-end lifecycle of trusted data products—from ingestion and modeling to visualization and consumption—ensuring alignment with business needs and regulatory obligations.
- • Champion data governance initiatives to create a culture of data accountability, transparency, and reuse across departments.
- • Collaborate with robotics, machine learning, and computer vision teams to ensure data infrastructure supports real-time and batch analytics needs for fleet operations and customer behavior insights.
- • Build and maintain documentation for data definitions, pipelines, schemas, and access policies to ensure consistency and knowledge retention across teams.
- • Evaluate emerging technologies and methodologies in data engineering and analytics to continuously improve platform performance, usability, and security.
- • Serve as the primary point of contact for data-related inquiries from leadership, ensuring clarity, accuracy, and alignment with strategic objectives.
🎯 Requirements
- • 6+ years of professional experience in data engineering and analytics including 2+ years experience leading teams of Sr. Data/Analytics Engineers.
- • Proven experience managing data engineering, analytics engineering, BI, or analytics teams, including hiring, coaching, performance management, and roadmap planning.
- • Deep understanding of data warehouses, data lakes, ETL/ELT pipelines, orchestration, data modeling, BI platforms, semantic layers, and data quality practices.
- • Hands-on experience with modern data stack tools such as Snowflake, BigQuery, Redshift, Databricks, dbt, Airflow, Fivetran, Looker, Tableau, or Power BI.
- • Demonstrated ability to build trusted, governed data products and enable organization-wide self-service analytics via AI-powered natural language interfaces with controls for accuracy, security, and compliance.
- • Experience establishing data governance standards including SOX, SOC2, GDPR, and international data residency requirements.
🏖️ Benefits
- • Competitive base salary range of $179,976 - $221,828 CAD for candidates based in Canada.
- • Remote work flexibility across the US and Canada.
- • Opportunity to work with cutting-edge robotics, machine learning, and computer vision technologies in a mission-driven environment.
- • Collaborative, diverse, and agile team culture focused on solving real-world problems with respect and innovation.
Skills & Technologies
Senior
Remote
Degree Required
About Serverobotics Inc.
Serverobotics develops cloud robotics software that lets users monitor, control, and manage fleets of internet-connected robots from any web browser. The platform integrates real-time telemetry, remote tele-operation, over-the-air updates, and secure data logging, enabling teams to deploy, debug, and scale robotic systems without on-site personnel. Core products include a web dashboard, REST and WebSocket APIs, and edge device agents that run on Linux-based robots. Industries served range from service and industrial automation to research and education, with emphasis on reducing operational downtime and accelerating development cycles through centralized fleet management.
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