Head of Data Platform Engineering

Owner.com
United States
Workplace: RemoteFull timeUSD 250,000 - 290,000 annuallyFunction: DevOps, Cloud & InfrastructureSkills: ["Leadership","Hands-on execution","Ownership","Reliability mindset","Governance judgment"]

Own the end-to-end data platform that turns production source data into reliable warehouse models and a single semantic layer for the business and ML systems. You’ll set the architecture, design order-data movement off a legacy monolith, standardize testing/monitoring/SLAs, and deliver feature/serving infrastructure that enables safe, reproducible restaurant machine learning—while managing cost and performance.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Owner.com
Owner.com
1 month ago

Head of Data Platform Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Own the end-to-end data platform that turns production source data into reliable warehouse models and a single semantic layer for the business and ML systems. You’ll set the architecture, design order-data movement off a legacy monolith, standardize testing/monitoring/SLAs, and deliver feature/serving infrastructure that enables safe, reproducible restaurant machine learning—while managing cost and performance.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Director level

Key Responsibilities

  • •Own end-to-end data platform architecture from source systems to serving, including stack consolidation, rebuild decisions, and potential lakehouse evolution.
  • •Design order-data migration from a legacy monolith to a new source of truth, covering event consumption/change data capture through projections into the warehouse.
  • •Establish modeling rigor and a single semantic layer for consistent core metrics, and standardize testing, monitoring, and SLAs to surface issues early.
  • •Provide ML-ready feature and serving infrastructure that enables safe, reproducible restaurant ML, and manage warehouse cost and performance.
  • •Build and lead the data platform engineering team behind the initial hands-on architecture work.

Pay and Benefits

Salary: USD 250,000 - 290,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceRemote WorkPaid Leave

Key Requirements

  • •10+ years in data engineering, data platform, or analytics engineering, including 3–5 years leading and building teams.
  • •Treat pipelines like software with version control, code review, automated tests, schema/data contracts, and CI/CD with changes reviewed before production.
  • •Deep hands-on experience with a modern data stack: cloud warehouse/lakehouse (Snowflake/Databricks/BigQuery/Redshift), dbt (or similar), orchestration (Airflow/Dagster or similar), and batch + streaming (Kafka/Spark/Flink).
  • •Strong data modeling and SQL plus production-quality Python, with proven data reliability ownership via SLAs/SLOs, quality monitoring, incident response, and root-cause work.
  • •Practical governance across lineage, cataloging, and access control, including PII and payments data, with good judgment about where AI/ML adds risk.
Experience:Data engineeringData platformAnalytics engineering
Skills:LeadershipHands-on executionOwnershipReliability mindsetGovernance judgment
Tech Stack:SnowflakeFivetranDbtSigmaHexDatabricksBigQueryRedshiftAirflowDagsterKafkaSparkFlinkSQLPythonCI/CDLakehouse

Company Brief

Owner.com
Provides a direct-to-consumer online ordering, delivery, and operations platform for independent restaurants, helping them increase revenue, reduce third-party fees, and manage orders, marketing, and customer relationships.
Industry: Restaurants & Food Service
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: New York, United States
WebsiteLinkedIn