Information Technology – Data Engineering Director+
ITDE.GEN.M6
Responsible for the strategic design, build, and management of the enterprise’s data infrastructure and pipelines.
Responsible for the strategic design, build, and management of the enterprise’s data infrastructure and pipelines.
The story of this role
Who does this work
The Data Engineer, a skilled professional who wants to design, build, and manage effective data infrastructure and pipelines.
The problem this role solves
- The external problem: Organizations struggle to manage vast amounts of data efficiently, leading to poor decision-making and wasted resources.
- The internal problem: The Data Engineer feels overwhelmed by the increasing complexity of data systems and the pressure to ensure high-quality data delivery.
- Why it matters: Every organization deserves to transform their data into meaningful insights that can drive success and growth.
The plan
- Assess the current data landscape to identify gaps and opportunities.
- Design and implement robust data architecture to streamline data flow.
- Develop and optimize data pipelines for efficiency and reliability.
- Utilize cutting-edge tools and technologies for data processing and management.
- Collaborate closely with cross-functional teams to ensure alignment and data accessibility.
What's at stake
Data inconsistencies lead to unreliable insights and poor business outcomes. The Data Engineer becomes frustrated with inefficiencies, hindering their professional growth.
Success looks like
Organizations operate with accurate, timely data that informs critical decisions. The Data Engineer builds a scalable and efficient data infrastructure that fosters innovation.
Summary
Responsible for the strategic design, build, and management of the enterprise’s data infrastructure and pipelines.
Level — M6 — Vice President
Owns a major function or division; accountable for organization-wide outcomes.
- Scope
- A major function or division
- Autonomy
- Accountable for division strategy and outcomes
- Complexity
- Enterprise priorities and external factors
- Impact
- Division-wide / organization-wide
- Decision rights
- Owns strategy, budget, and org for a division
- Leadership
- Leads the leadership of a division
- Typical experience
- 15–25 yrs
Core outputs
No core outputs recorded yet.
Adjacent roles
Nearest roles by structural coordinates (level + taxonomy). Distance 0 → 1; each carries its 3-state match band. How coordinates work → · Compare side-by-side →
Componentsshow ▾
Responsibilities7
- Define and implement the enterprise data architecturecommonlevel
- Lead the development of robust data pipelinescommonlevel
- Oversee the building and maintenance of large-scale data processing systemscommonlevel
- Ensure data quality and integrity across systemscommonlevel
- Collaborate with cross-functional teams to align data strategies with business goalscommonlevel
- Mentor and develop junior data engineering staffcommonlevel
- Drive innovation in data engineering practicescommonlevel
Tasks5
- Define enterprise data architecturecommonlevel
- Lead data pipeline developmentcommonlevel
- Oversee data processing system maintenancecommonlevel
- Ensure data quality across systemscommonlevel
- Collaborate with teams for data strategy alignmentcommonlevel
Skills8
- Data architecture designcommonlevel
- Pipeline developmentcommonlevel
- Leadershipcommonlevel
- Strategic planningcommonlevel
- Problem-solvingcommonlevel
- Collaborationcommonlevel
- Mentorshipcommonlevel
- Data quality managementcommonlevel
Knowledge8
- Enterprise data architecturecommonlevel
- Data pipeline technologiescommonlevel
- Data processing systemscommonlevel
- Data quality and integritycommonlevel
- Cross-functional team collaborationcommonlevel
- Mentorship and leadershipcommonlevel
- Innovation in data engineeringcommonlevel
- Project management methodologiescommonlevel
competency8
- Leadership and Mentorshipcommonlevel
- Strategic Visioncommonlevel
- Excellent problem-solving skillscommonlevel
- Data Architecture Designcommonlevel
- Cross-functional collaborationcommonlevel
- Innovation in Data Practicescommonlevel
- Data Quality Assurancecommonlevel
- Project managementcommonlevel
qualification4
- Bachelor’s degree in Computer Science, Information Systems, or related fieldcommonlevel
- 10+ years in data engineering rolescommonlevel
- Master’s degree in Data Science or related field (preferred)commonlevel
- Cloudera Certified Data Engineer (preferred)commonlevel
Title aliasesshow ▾
| Alias | Type | Confidence | Approved |
|---|---|---|---|
| Information Technology – Data Engineering Director+ | common | medium0.60 | — |
| Senior Director or equivalent | common | medium0.50 | — |
Classification mappingsshow ▾
O*NET / SOC
- code=15-0000title=Computer & Mathematical Occupationssource=inferred_from_superfunctionreviewStatus=needs_review