Staff Data Engineer
Big Data
Bigdata
Cloud
Cloud Data Warehouse
Cloud Platform
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Build Tool
Data Engineer
Data Engineering
Data Governance
Data Integration
Data Management
Data Modeling
Data Operations
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Security
Data Warehouse
Data Warehousing
Database
Databases
Databricks
ETL
Google Cloud Bigquery
Reporting and Analytics
Snowflake
Spark
SQL
Job Description
Manifest OS is seeking a Staff Data Engineer to take ownership of the target-state data platform architecture, guide reliability and execution, and lead the team building core data capabilities. This is an in-person role in the NYC office 5 days a week.
Role Overview
The Staff Data Engineer will direct the architecture, reliability, and long-term direction of the company’s data platform. You will define a sequenced roadmap, make clear build-vs-buy decisions across the stack, and ensure data products remain trustworthy and consistent across reporting and operational use cases.
Key Responsibilities
- Own the target-state data architecture across ingestion, modeling, semantic layer, and serving, including a sequenced roadmap and named trade-offs.
- Drive build-vs-buy and tooling decisions for ingestion, transformation, orchestration, and observability.
- Own data trust by making freshness, correctness, and lineage observable, and by enforcing standards in CI.
- Maintain a single definitional layer so metrics mean the same thing in BigQuery, HubSpot, and board deck reporting.
- Build governed foundations for AI features, including identity resolution and canonical entity models.
- Lead and grow the team while staying close enough to the code to review hard designs and complex queries.
Required Qualifications
- 8+ years of data engineering, including serving as an architect (not only a contributor) for a cloud data platform.
- Hands-on fluency with BigQuery (or Snowflake/Databricks), dbt, Python, and advanced SQL.
- Production experience where opinions on orchestration, idempotency, and testing were shaped by real on-call incidents and paging.
- Experience leading engineers formally or as a technical lead, with comfort operating in a player-coach capacity.
- Core focus on security and compliance, including access control, PII handling, and auditability as first-order design requirements.
Technologies
- BigQuery
- Snowflake
- Databricks
- dbt
- Python
- SQL
- HubSpot
Nice-to-Haves
- Marketing attribution or multi-touch modeling across CRM, product, and clickstream data.
- Experience building data foundations for ML or LLM-based product features.
- Background in legal, healthcare, or fintech; early data hire experience at a high-growth company.
Compensation and Location
Location: New York, NY (onsite), in-person 5 days a week
Salary: USD 250,000 - 300,000 per year
Similar Jobs
