Lead Data Engineer

Jobgether; Oregon; Hybrid; USD 155,000 - 175,000; Full time

Benefits offered by this job

Performance bonus

Flexible paid time off

Eight paid holidays

Company-wide week off between Xmas and

Comprehensive medical/dental/vision

Mental health resources

Employer-matched 401(k)

Life and disability insurance

Employee Assistance Program

Parental leave and fertility support

Career development and mentorship

Sabbatical after five years

Job summary

Jobgether is seeking a Lead Data Engineer in the United States to build and strengthen data infrastructure powering reporting, analytics, and AI-driven solutions. This hands-on leadership role blends technical excellence with strategic planning and requires guiding platform development and data governance.

You will lead a small team, own data pipelines, collaborate with senior leadership, and oversee data models, security, and access controls while enabling reliable AI tools and scalable data

Qualifications

• 7+ years in data engineering or analytics engineering with lead or senior ownership of a production data platform.
• Extensive hands-on experience with Snowflake.
• Strong proficiency in dbt and advanced SQL, plus working knowledge of Python.
• Experience integrating SaaS platforms and marketing APIs via ELT tools and custom pipelines.
• Ability to shape technical strategy and establish platform direction, not just task execution.
• Strong troubleshooting skills to diagnose and resolve complex pipeline issues and document solutions clearly.
• Excellent communication and collaboration across technical and non-technical stakeholders.
• Independent, proactive working style with sound judgment in ambiguity.
• Strong organizational skills and a practical, empathetic approach to business requirements.

Responsibilities

• Lead data engineering, platform strategy, and team development.
• Build, test, and document data pipelines and dbt models within Snowflake.
• Integrate data from paid media, web analytics, SEO tools, CRM systems using ELT platforms and APIs.
• Monitor pipelines, diagnose failures, and prevent disruptions.
• Maintain data governance standards including access controls and privacy safeguards.
• Develop semantic layers, metric definitions, and metadata for AI consumption.
• Define data architecture and roadmaps with senior leadership.
• Translate business needs into scalable data solutions and provide technical guidance.
• Ensure data models and governance support analysts, reporting, and AI apps.
• Build and lead a small data support team with playbooks and escalation procedures.
• Expand the data team as business needs grow.

Skills

dbt

SQL

Python

Leadership

ELT pipelines

Data governance

Tools

Snowflake

Fivetran

Airbyte

GA4

Salesforce

HubSpot

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Data Engineer based in the United States. The Lead Data Engineer will play a pivotal role in building and strengthening the data infrastructure that powers client reporting, business operations, analytics, and AI-driven solutions. This hands-on leadership position combines technical expertise with strategic decision-making, offering the opportunity to shape data architecture, guide platform development, and influence long-term technical priorities. You will collaborate with internal teams and external partners to build reliable, scalable, and well-governed data systems. The role also involves developing secure data foundations that enable AI tools to access and interpret information responsibly. As the data function grows, you will progressively take ownership of the platform and build a small team dedicated to data support and operational excellence. This is an opportunity to make a measurable business impact in a fast-paced, collaborative environment.

Accountabilities

You will lead key aspects of data engineering, platform strategy, and team development, ensuring that data is reliable, secure, accessible, and useful across business functions. Working closely with senior leadership and cross-functional stakeholders, you will translate business needs into effective technical solutions while improving data quality and operational performance.

• Build, maintain, test, and document data pipelines and dbt models within Snowflake to ensure reliable, trusted data.
• Integrate data from paid media platforms, web analytics, SEO tools, CRM systems, and other business applications using ELT platforms such as Fivetran or Airbyte, alongside direct API integrations.
• Monitor data pipelines, investigate failures, resolve root causes, and proactively prevent disruptions before they affect internal teams or clients.
• Maintain data governance standards, including access controls, privacy safeguards, and consent requirements.
• Develop clear semantic layers, consistent metric definitions, and comprehensive metadata so AI agents can reliably interpret and use data.
• Design secure, governed access patterns for AI-powered tools, ensuring permissions are respected, queries remain appropriately scoped and read-only, and results can be traced to their sources.
• Partner with senior leadership to define data architecture, establish technical roadmaps, and evaluate build-versus-buy-versus-partner decisions.
• Translate business and client requirements into scalable data solutions, providing technical guidance and challenging requests when necessary.
• Ensure data models and governance frameworks support analysts, reporting systems, and AI-driven applications.
• Build and lead a small data support team responsible for Tier 1 and Tier 2 triage, including support playbooks, escalation procedures, and operational workflows.
• Expand the data team over time as business needs evolve, improving data accuracy, platform performance, and the tools available across the organization.

Requirements

The ideal candidate brings extensive data engineering experience, strong technical ownership, and the ability to balance hands-on problem-solving with strategic planning. You should be comfortable working independently in an environment with ambiguity, communicating technical concepts clearly, and identifying practical solutions that meet broader business needs.

• At least 7 years of experience in data engineering or analytics engineering, including experience as a lead or senior technical owner of a production data platform.
• Extensive hands-on experience with Snowflake.
• Strong proficiency in dbt and advanced SQL, along with working knowledge of Python.
• Experience integrating SaaS platforms and marketing APIs, including advertising platforms, Google Analytics 4 (GA4), Salesforce, and HubSpot, through ELT tools and custom pipelines.
• Demonstrated ability to shape technical strategy, influence architecture decisions, and establish platform direction rather than simply execute assigned tasks.
• Strong troubleshooting skills, with the ability to diagnose complex pipeline issues, resolve root causes, and document solutions clearly.
• Excellent communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders.
• A proactive, independent working style, with sound judgment and the ability to navigate ambiguity.
• Strong organizational skills and a practical, empathetic approach to understanding business requirements.

Preferred qualifications

• Experience working with agency data or B2B marketing analytics.
• Knowledge of data governance and privacy practices, including role-based access controls, data masking, and consent management.
• Experience preparing data for AI- and large language model (LLM)-driven tools.
• Previous experience mentoring colleagues or leading technical teams.
• Familiarity with AI tools such as ChatGPT, Claude, or Gemini, and the ability to introduce new ways of working while respecting business data privacy and security requirements.

Benefits

• Starting annual base salary: $155,000-$175,000 USD. Final placement within the salary range depends on several factors, including internal equity. The stated range reflects expected starting compensation, and merit-based increases may be available over time.
• Eligibility for a performance bonus based on company results.
• Flexible paid time off to support vacations, personal needs, and mental well-being.
• Eight paid holidays, half-day summer Fridays, and a company-wide week off between Christmas and New Year.
• Comprehensive medical, dental, and vision insurance.
• Mental health resources, pet insurance, and additional wellness support.
• Employer-matched 401(k) retirement plan and access to financial planning services.
• Life insurance, disability coverage, and other financial protection benefits.
• Employee Assistance Program offering free, confidential support for employees and their households, including counseling and mental health resources.
• Paid leave for new parents and caregivers, along with support related to fertility treatment, pregnancy loss, and adoption challenges.
• Career development opportunities, mentorship programs, learning events, and clear career pathways.
• Regular performance reviews, goal-setting, and ongoing coaching.
• A milestone sabbatical after five years of service, including two weeks off and a $2,000 gift.
• Employee resource groups, volunteering opportunities, and initiatives that encourage community and belonging.
• A collaborative workplace culture that values professional growth, inclusion, and shared success.