Director, Data Engineering

Articore Group; Chicago (IL); Hybrid; USD 265,000 - 275,000; Full time

Benefits offered by this job

Health care plan

Retirement plan

Life insurance

Paid time off

Family leave

Disability coverage

Training & development

Work from home

Wellness allowance

Job summary

Articore Group is seeking a Director of Data Engineering to unify four teams into a single, trusted data platform. You will set the strategy for delivery, people, and technology, partnering with the Melbourne Product Director and reporting to the SVP of Engineering.

You’ll own the global data roadmap, drive scalable pipelines, consolidate the warehouse, manage managers across regions, and align data governance with GDPR/CCPA.

Qualifications

• 8+ years leading data organizations.
• 2
• 3+ years managing managers.
• Experience consolidating data estates via warehouse migrations.
• Budget ownership for cloud/data platforms.
• Familiar with GDPR/CCPA frameworks.
• Experience with the modern data stack (dbt, Airflow, Snowflake).

Responsibilities

• Set data strategy and roadmaps across Delivery, People, and Technology.
• Lead cross-functional alignment with executives and stakeholders.
• Build reliable pipelines with SLAs and consolidate the data warehouse.
• Oversee governance, privacy, and regulatory compliance.
• Champion AI across teams and automate workflows.
• Hire and grow the data organization across regions.

Skills

Global team leadership

Data governance & privacy

Budget ownership

AI tooling experience

Cloud/data warehouse knowledge

Cross-functional leadership

GDPR/CCPA familiarity

Tools

dbt

Airflow

Snowflake

Job description

As Director, Data Engineering you'll take charge of data across the whole Articore Group: Martech Engineering, Core Data Engineering, Analytics Engineering, and Data Science, each already running with its own manager. Your job is to turn four teams pulling in their own direction into one coherent strategy, one set of standards, and one voice Execs can trust, without stripping away what makes each team work.

You'll partner closely with our Melbourne-based Product Director for Data, and report to our SVP of Engineering.

Here’s the real opportunity: every function has built exactly what it needed, locally, and now the group needs someone to build the global picture. Reliable pipelines with real SLAs. A warehouse finally consolidated across four brands instead of four different ways of doing things. A genuine plan to pay down the technical debt sitting underneath all of it. This is architecture at group scale, and you’re the one drawing the blueprint.

The job is holding the tension between what the business needs right now and the long‑term rationalization that makes everything else possible, without dropping either ball.

Core Responsibilities

You'll partner with Executives and stakeholders across Product, Marketing, and Analytics, owning your organization’s roadmap end‑to‑end across three areas: Delivery, People, and Technology.

Delivery

• Set direction for data technology across the group, coordinating roadmaps across data engineering, analytics engineering, martech, and data science to unlock key business initiatives.
• Own prioritization across OKR‑driven initiatives, ad‑hoc requests, and platform work — owning intake and planning, and making the case for tradeoffs directly to the executive team.
• Build the architecture behind reliable, business‑critical pipelines: SLAs per layer, and technical debt retired to the point teams can trust the data they run the business on.
• Coordinate with adjacent teams, including product and other engineering functions, to align roadmaps and land cross‑functional initiatives.

People

• Hire and build out the data organization, including key hires across Australia, the US, and India.
• Manage engineering managers directly, with skip‑level visibility into technical leads. Set clear ownership and handoff practices so no region waits on one person or timezone.
• Partner with each manager on the practices that make execution predictable — sprint planning, delivery rituals, and reporting.
• Own performance, development, and comp conversations at the manager layer, and calibrate standards across four functions without erasing what makes each work.

Technology

• Steward technical direction across the full data stack, and consolidate technology to reduce cost while improving reliability and simplifying systems.
• Drive architectural decisions on data flows between systems, the warehouse, and downstream analytics — balancing reliability, scalability, and delivery speed.
• Own data governance and privacy practices — classification, retention, and data subject requests — aligned to GDPR, CCPA, and equivalent frameworks.
• Champion AI across the teams, establishing efficiencies through agentic workflows and automation.

• 8+ years leading data organizations, including at least 3 years managing managers.
• Experience leading engineering teams through technological consolidation, including via an acquisition or merger.
• Experience owning distinct engineering functions with different stakeholders — martech, data engineering, analytics engineering, and data science.
• Direct ownership of a cloud, warehouse, or infrastructure budget, with a clear line of sight into spend, drivers, and savings.
• Practical experience with data privacy and compliance frameworks (GDPR, CCPA), and familiarity with the modern data stack (dbt, Airflow, Snowflake).
• A track record of consolidating a fragmented data estate through a full warehouse or platform migration. Experience managing Data Science or ML teams is a plus.

Key Attributes for Success

• AI‑first: demonstrable, current experience using agentic AI tooling in production engineering work.
• Experience building high‑performing global teams across time zones, with clear 'follow the sun' handoffs.

• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)
• Short Term & Long Term Disability
• Training & Development
• Work From Home
• Wellness Allowance

Compensation

We offer competitive compensation designed to attract and retain exceptional talent. In support of pay equity and fairness, the expected annual base salary range for this role is:

$265,000 – $275,000 USD

Final compensation may vary based on experience, knowledge, skills, and abilities.