Ben's Professional Development Roadmap

Tampa Bay · Target: Principal Data Engineer / Data Architect

Updated September 2026 ·

Stage 1 Stage 2Stage 3 The Goal
Credential — proctored exam Skill course (DataCamp) Focus — a habit to build, not a course Further reading
1
Stage 1  ~0–3 yrs in$55K – $80K
Data Analyst

You answer questions with data. The tables you query were built by someone else.

  • Pull and prepare data to answer the questions the business asks
  • Build and maintain the reports and dashboards people rely on
  • Investigate why a number changed and explain it to a non-technical audience
  • Check data quality and fix problems in the source
Data Analyst · BI Analyst · Reporting Analyst — where you are now; the SQL and BI foundation the rest stands on
Skills — Microsoft Learn
2
Stage 2  ~3–5 yrs in$110K – $140K
Senior Data Analyst / Analytics Engineer

You build the tables other people's reports sit on, and you ship them like software.

  • Build the shared tables and models the rest of the team works from
  • Define what the data means — grain, definitions, business rules
  • Version, review and test changes before they reach anyone
  • Advise on decisions rather than reporting on them afterwards
Senior Data Analyst · Analytics Engineer — the real bridge role between BI and data engineering
Focus — habits to build
Deciding what one row of a table means Working in Git, shipping by pull request Writing tests that run before code merges
3
Stage 3  ~6–8 yrs in$130K – $160K
Senior / Staff Data Engineer

You build and run the systems that move the data, and you are on call for them.

  • Design and build the pipelines that move data between systems
  • Keep them reliable — monitoring, alerting, and fixing failures
  • Work at volumes where performance and cost have to be designed for
  • Manage infrastructure and deployment as code
  • Set technical standards and review other engineers' work
Senior Data Engineer · Staff Data Engineer — IC track, no people management
Focus — habits to build
Splitting pipelines into raw, cleaned and ready-to-use layers Models that hold up at full production volume Running a system without being told what to do next
Advanced degree
MPA — helps you stand out, but no posting requires it
4
The Goal  The ceiling$180K – $250K+
Principal Data Engineer / Data Architect

You decide how data works across the whole company. No direct reports.

  • Set the data architecture and choose the platforms behind it
  • Own security, access and governance for company data
  • Design for real-time data as well as batch
  • Plan for scale, performance and cost across the platform
  • Guide technical direction and mentor engineers without managing them
Principal Data Engineer → Staff Data Engineer → Data Architect — IC track; realistically remote for a national employer, or one of a few large local enterprises
Focus — what the job is
Choosing the platform everyone else builds on Who can see which data, and being able to prove it Handling data as it arrives, not overnight Keeping it fast and affordable as it grows Mentoring engineers you do not manage