DataOps Team Lead - Cloud Data Platform & Pipelines

Harvey Nash; Short Hills (NJ); Hybrid; USD 140,000 - 160,000; Full time

Benefits offered by this job

Pension/401K

Paid Vacation

Medical & Dental Insurance

Job summary

Harvey Nash invites a DataOps Team Lead to shape and operate modern data pipelines across enterprise. Hybrid work in Short Hills, NJ / Hartford, CT / Charlotte, NC with 3 days onsite weekly.

You will lead data engineering, analytics, and governance, drive CI/CD for data, ensure reliability, and mentor a high‑performing team while partnering with architecture, analytics, and platform squads.

Qualifications

• 8+ years of experience in data engineering, analytics engineering, or platform engineering.
• 3+ years in a lead or senior engineering role managing data platforms or operations.
• Strong experience with cloud data platforms (Azure, AWS, or GCP).
• Experience with Databricks, or modern Lakehouse architectures.
• Excellent communication skills.
• Proven history of leading others to complete complex deliverables.

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.
• Establish operational expectations for data products/data contracts, including reliability targets, change management, and consistency of consumption for analytics and AI use cases.
• 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.
• Ensure high availability, performance, and reliability of data platforms and analytics workloads.
• Establish monitoring, alerting, and incident management for data systems, including root‑cause analysis and post‑incident improvements.
• Embed governance requirements into data operations, including data quality controls, lineage visibility, and access enforcement within pipelines.
• Monitor and optimize cloud consumption and platform costs for data workloads.
• Drive performance tuning and capacity planning for data platforms.
• Own, report and provide transparency into platform health, costs, and operational metrics.
• Lead, mentor, and grow high‑performing DataOps and data engineering team members.
• Serve as a thought leader on modern data engineering and operational practices.

Skills

Data leadership

Communication

Mentoring

Cross-team collaboration

Operational excellence

Data modeling

Regulated environments

Education

Bachelor's degree in Computer Science or MIS

Tools

Airflow

ADF

Dagster

dbt

Azure DevOps

GitHub Actions

GitLab

Job description

Harvey Nash invites a DataOps Team Lead to shape and operate modern data pipelines across enterprise. Hybrid work in Short Hills, NJ / Hartford, CT / Charlotte, NC with 3 days onsite weekly.

You will lead data engineering, analytics, and governance, drive CI/CD for data, ensure reliability, and mentor a high‑performing team while partnering with architecture, analytics, and platform squads.