Data Engineering
Analytics Engineering
Analytics Engineers build the bridge between raw data and business decisions, mastering both technical depth and stakeholder translation. This path creates CDOs who speak fluent boardroom while architecting enterprise-scale data strategies.
The Career Arc
Rotational · L1–L3
Build the Analytics Engineering craft. Prove you can wield the tools of Data Engineering.
Transformational · L4–L7
Deliver Analytics Engineering outcomes — each Data Engineering tour at this altitude has a defined mission and success criteria.
- L4 : Lead analytics engineering projects
- L5 : Drive analytics architecture across the org
- L6 : Set analytics engineering direction
- L7 : Shape the company's analytics vision
Manage a Team?
Great Analytics Engineering managers are practitioners first. The Data Engineering IC responsibilities in L4–L7 are your foundation — your management responsibilities are additive:
- • Hire people you'd trust locked in a room—skills matter, but trust matters more
- • Build a team that balances technical depth with business curiosity
- • Run 1:1s that connect data work to business impact—not just sprint tickets
- • Give feedback that builds both technical and communication skills
- • Remove blockers—fight for data access, compute resources, and stakeholder clarity
Foundational · L8–L9
Shape the Data Engineering organization from the Analytics Engineering chair — build institutions, not just products.
L1 — Associate Analytics Engineer Rotational
Mission
Learn analytics engineering through model development
This tour of duty
Build your first production dbt models
Own the outcomes
- • Learn dbt and analytics engineering fundamentals
- • Write SQL transformations under engineer guidance
- • Build data tests and quality checks
- • Build foundational knowledge of dimensional modeling
- • Participate in code reviews and model discussions
- • Document data models and business logic
Analytics Engineering at L1 — the competency bar
AI in this role
- • Generating SQL transformations
- • Debugging model issues
- • Writing dbt tests
L2 — Junior Analytics Engineer Rotational
Mission
Build and maintain transformation models
This tour of duty
Own a data domain that analysts depend on
Own the outcomes
- • Build and maintain dbt models for data domains
- • Define business logic in the transformation layer
- • Implement data quality testing and documentation
- • Collaborate with analysts on modeling requirements
- • Troubleshoot data quality issues independently
- • Create model documentation and metadata
Analytics Engineering at L2 — the competency bar
AI in this role
- • Drafting model architectures
- • Analyzing data quality
- • Generating documentation
L3 — Senior Analytics Engineer Rotational
Mission
Own data domains with strong modeling skills
This tour of duty
Lead a project that improves data quality or accessibility
Own the outcomes
- • Own transformation layer for major data domains
- • Design dimensional models and semantic layers
- • Build metric definitions and business logic
- • Partner with analysts on data modeling standards
- • Develop reusable macros and patterns
- • Mentor junior engineers on dbt practices
Analytics Engineering at L3 — the competency bar
AI in this role
- • Modeling data schemas
- • Reviewing dbt code
- • Creating lineage docs
L4 — Staff Analytics Engineer / Manager, Analytics Engineering Transformational
Mission
Lead analytics engineering projects
This tour of duty
Design data models that become company standards
Own the outcomes
- • Lead analytics engineering projects
- • Design scalable data modeling architectures
- • Establish data modeling standards and practices
- • Mentor engineers on analytics engineering
- • Influence technology decisions for analytics stack
- • Build relationships with analytics teams
Analytics Engineering at L4 — the competency bar
AI in this role
- • Designing data marts
- • Analyzing usage patterns
- • Generating specs
L5 — Senior Staff Analytics Engineer / Senior Manager, Analytics Engineering Transformational
Mission
Drive analytics architecture across the org
This tour of duty
Drive modeling decisions across teams
Own the outcomes
- • Define analytics engineering strategy
- • Set technical standards for data modeling
- • Lead complex data modeling initiatives
- • Drive modeling best practice adoption
- • Shape analytics engineering org-wide
- • Represent analytics engineering in planning
Analytics Engineering at L5 — the competency bar
AI in this role
- • Evaluating modeling approaches
- • Building architecture docs
- • Creating roadmaps
L6 — Director, Analytics Engineering Transformational
Mission
Set analytics engineering direction
This tour of duty
Define analytics engineering standards
Own the outcomes
- • Define analytics layer vision and roadmap
- • Architect data modeling standards and semantic layers that scale
- • Solve the most complex analytics engineering and data quality challenges
- • Own data quality and self-serve metrics
- • Drive organizational alignment on modeling
- • Represent analytics engineering in executive discussions
Analytics Engineering at L6 — the competency bar
AI in this role
- • Analyzing modeling patterns
- • Generating standards
- • Building knowledge bases
L7 — Senior Director, Analytics Engineering Transformational
Mission
Shape the company's analytics vision
This tour of duty
Solve a modeling problem that unlocks insights
Own the outcomes
- • Set analytics engineering strategy company-wide
- • Align analytics engineering with business goals
- • Build hiring and development for team
- • Define industry-leading modeling capabilities
- • Shape company-wide analytics operating model
- • Lead analytics engineering planning
Analytics Engineering at L7 — the competency bar
AI in this role
- • Modeling data evolution
- • Analyzing trends
- • Creating vision documents
L8 — VP, Analytics Engineering Foundational
Mission
Build and lead analytics engineering teams
This tour of duty
Build a team that delivers trusted data
Own the outcomes
- • Own analytics engineering outcomes at scale
- • Drive transformation for analytics excellence
- • Build systems for data quality and accessibility
- • Shape company strategy through analytics lens
- • Establish operating model for analytics org
- • Lead cross-functional analytics alignment
Analytics Engineering at L8 — the competency bar
AI in this role
- • Building analytics dashboards
- • Analyzing team patterns
- • Creating hiring frameworks
L9 — SVP of Analytics Engineering Foundational
Mission
Own analytics engineering strategy
This tour of duty
Transform analytics engineering practices
Own the outcomes
- • Shape company analytics engineering vision
- • Represent analytics engineering at executive level
- • Define multi-year analytics infrastructure roadmap
- • Build partnerships and industry relationships
- • Lead analytics engineering through transitions
- • Establish analytics engineering as differentiator
Analytics Engineering at L9 — the competency bar
AI in this role
- • Modeling analytics scenarios
- • Building strategy documents
- • Designing knowledge infrastructure
What Hiring Managers Look For
You transform raw data into clean, tested models that analysts can trust — showing you understand both engineering rigor and business logic.
You've built data infrastructure that scales beyond your current team's needs while maintaining sub-second query performance on production dashboards.
You architect data strategies that directly influence C-suite decisions, with documented cases of your models preventing million-dollar mistakes.
Common Career Transitions
Analytics Engineering → Product Analytics at L4-L5 for direct business impact measurement
Analytics Engineering → Data Platform at L5-L6 for broader infrastructure ownership
Analytics Engineering → Business Intelligence at L6+ for strategic decision-making leadership
Official Classifications
| System | Code | Official Title |
|---|---|---|
| O*NET-SOC (US) | 15-1243.01 | Data Warehousing Specialists |
| ISCO-08 (UN/ILO) | 2521 | Database designers and administrators |
| ESCO (EU) | — | data warehouse designer |
| SSOC 2024 (Singapore) | 25210 | Database Designers and Administrators |
| NCO-2015 (India) | 2521.0100 | Database Designer and Administrator |
At L6 and above, the manager classification 1330 — Information and communications technology service managers applies IN ADDITION to the professional code — a manager is a superset of the individual contributor, never a replacement.
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