Photo: Venca24 (CC BY-SA 4.0)
Job description
Specialists develop the process models for how data gets sourced, loaded, transformed, and extracted, then map how information flows between source systems, warehouses, and smaller data marts. Beyond building the warehouse structure itself, they set the standards, naming conventions, and architecture that keep the whole system organized as it grows, and regularly verify the accuracy and quality of the data living inside it. It's structured, deadline-aware work that calls for real independent judgment, and typically requires a Bachelor's degree in a computer-related field.
Pros
- High upside earning potential, up to $204k, with strong pay even at entry level
- Much faster than average projected growth (8.7%)
- Standard, humane hours capped around 45 per week
Cons
- Small field nationally (about 4,000 jobs), so openings may be geographically limited
- Precision is essential, since errors in data mapping can corrupt downstream reporting
- Highly technical, detail-oriented work maintaining standards across complex systems
A typical day
The warehouse feeds every dashboard in the company, and the morning starts with its health: last night's loads completed, but the claims feed ran long — worth investigating before month-end reporting strains it further. The core project is a new source integration: mapping fields from an acquired company's billing system to the warehouse schema, where "customer" means three different things across systems and reconciling them is careful, political, detailed work. Data quality checks surface a batch of malformed records from an upstream fix that wasn't announced; the afternoon includes the diplomatic email about that. Design decisions carry years of consequences — a dimension modeled wrong today is a rebuild in two years — so the specialist documents obsessively and thinks in decades per terabyte.
Tasks at the job
- Develop data warehouse process models, including sourcing, loading, transformation, and extraction.
- Verify the structure, accuracy, or quality of warehouse data.
- Map data between source systems, data warehouses, and data marts.
- Develop and implement data extraction procedures from other systems, such as administration, billing, or claims.
- Design and implement warehouse database structures.
- Develop or maintain standards, such as organization, structure, or nomenclature, for the design of data warehouse elements, such as data architectures, models, tools, and databases.
Workplace & working conditions
Work happens indoors in a climate-controlled setting, and most of the day is spent sitting at a desk.
There's a regular, moderate amount of time pressure, and you're expected to exercise significant independent judgment day to day. Precision and accuracy are essential to the work.
Education necessary or common
Bachelor's degree
Common college majors
Licenses & certifications
- Snowflake/Databricks certifications
- Cloud data warehouse certs (AWS, Azure)
- CDMP (Certified Data Management Professional, later)
Career path
Related fields
Courses to take
- AP Computer Science A — programming foundation
- AP Computer Science Principles — data and systems context
- AP Statistics — you build for analytical workloads
- Algebra II — logical modeling muscle
- English — schema documentation is technical writing
Clubs, activities & competitions
- Coding club
- Math team
- Organize real data: build the definitive spreadsheet system for a club or team
- FBLA technology events
First steps you can take now
- Learn SQL thoroughly with a free interactive course — it's the field's native language
- Design a small database for something real: a collection, a league, a fundraiser
- Read about star schemas and why warehouses aren't just big spreadsheets
- Take a free data modeling intro course
