Lead Data Engineer (Consumer)

Location: New York, NY, USA. The role is associated with the New York office, and external candidates may be required to attend an in-person interview.

Salary: USD 170,000–190,000 yearly.

Company

hirify.global is a media and entertainment business operating brands across political news, business news, golf, sports, and genre entertainment, with complementary digital assets.

What you will do

• Lead a distributed Data Engineering team delivering source-to-Silver data products.
• Translate product requirements into engineering plans, milestones, estimates, dependencies, and delivery commitments.
• Design and oversee ingestion, transformation, standardization, orchestration, and publication across operational, SaaS, file, streaming, API, and partner sources.
• Build reusable frameworks, templates, libraries, and pipeline patterns for batch, incremental, change-data-capture, and event-driven processing.
• Implement data-quality testing, reconciliation, freshness monitoring, lineage, alerting, access controls, masking, retention, and data-residency practices.
• Partner with architects, data modelers, product managers, platform teams, domain leaders, and source-system owners while coaching engineers and managing delivery standards.

Requirements

• 8+ years of data engineering, software engineering, or data-platform experience, including 2+ years leading engineers, technical workstreams, or large-scale delivery.
• Hands-on expertise in SQL, Python, Spark/PySpark, and modern ELT/ETL patterns.
• Experience designing enterprise-scale ingestion and transformation pipelines and working with Databricks, Delta Lake, or a comparable lakehouse platform.
• Experience with cloud storage, orchestration, CI/CD, layered Bronze/Silver/Gold data platforms, data quality, observability, lineage, metadata, and production support.
• Ability to lead distributed teams across time zones and communicate technical choices, risks, and tradeoffs to technical and non-technical stakeholders.
• Ability to attend an in-person interview at a hirify.global location if required during the selection process.

Nice to have

• Experience with Unity Catalog or comparable governance, catalog, and access-control capabilities.
• Experience with data contracts, schema evolution, change-data capture, APIs, event streaming, and large-volume data processing.
• Experience with multiple data domains, global data products, regional data-residency requirements, infrastructure-as-code, DataOps, or automated environment provisioning.
• Experience in a regulated, high-scale, or operationally sensitive environment.

Culture & Benefits

• Full-time employment with health insurance, retirement plans, and paid time off.
• Distributed onshore/offshore delivery model with defined handoffs, overlap hours, documentation standards, ceremonies, and escalation paths.
• Focus on ownership, continuous improvement, reliable execution, and reusable engineering practices.
• Commitment to equal employment opportunity and reasonable accommodation during recruitment.