Harvey Nash

Harvey Nash

Lead Data Engineer (DataOps)

New Jersey

No sponsorship$140k-$160kDetected 15 hours ago
PythonGitSQLDatabricksAWSGCPAzureCI/CDGitHub ActionsDevOpsPlatform EngineeringKafkaMachine LearningAirflowdbtData EngineeringTest AutomationLeadershipCommunication

About the role

  • This range may be adjusted based on market conditions, location, and other relevant factors.
  • The Company will determine the final starting salary/Pay rate in consultation with the selected candidate(s), in full compliance with applicable laws

Responsibilities

  • Define and evolve the DataOps operating model, including how data pipelines and platforms are designed, deployed, supported and scaled across teams.
  • Lead the design and implementation of DataOps frameworks, standards, and best practices across the organization.
  • Partner with Data Architecture, Analytics, AI/ML, and Platform teams to operationalize data products end-to-end.
  • Drive adoption of automation, orchestration, and observability capabilities for data pipelines.
  • Implement and manage CI/CD for data, including automated testing, deployments, and rollback strategies.
  • Monitor and optimize cloud consumption and platform costs for data workloads.
  • Drive performance tuning and capacity planning for data platforms.
  • Lead, mentor, and grow high-performing DataOps and data engineering team members.
  • Demonstrated ability to provide technical leadership through design reviews,
  • 3+ years in a lead or senior engineering role managing data platforms or operations.

Requirements

  • Proven history of leading others to complete complex deliverables.
  • 8+ years of experience in data engineering, analytics engineering, or platform engineering.
  • Strong experience with cloud data platforms (Azure, AWS, or GCP).
  • Experience with Databricks, or modern Lakehouse architectures.
  • Hands-on expertise with:
  • College degree in Computer Science, Management Information systems or related
  • Familiarity with streaming platforms (Event Hubs, Kafka, Kinesis).
  • Knowledge of FinOps practices for cloud cost management.

Compensation

  • The pay range listed above reflects the expected starting salary /Pay rate for this role.
  • The Company will determine the final starting salary/Pay rate in consultation with the selected candidate(s), in full compliance with applicable laws

Benefits

  • Experience supporting machine learning or AI workloads in production.
  • Background in regulated or enterprise environments (financial services, insurance, healthcare).
  • Own, report and provide transparency into platform health, costs, and operational metrics.

Visa & Work Authorization

  • We are unable to sponsor H1b candidates at this time
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This listing is sourced directly from Harvey Nash's careers page and normalized into a canonical job model.