Note: The job is a remote job and is open to candidates in USA. Better Digital is an intentionally small consulting firm focused on delivering accountable, senior-level digital and data solutions for enterprise clients. The Principal Data Architect & Consultant will architect and implement end-to-end data ecosystems, including data modeling, identity resolution, governance, pipelines, and lakehouse architecture, while advising technical and executive stakeholders. The role will also help establish the company’s data practice, standards, reusable patterns, and growing data team.
Responsibilities
- You would be the person who fixes that, for our clients and for us
- You get on the phone with a client, earn their trust, and architect the whole data ecosystem: how data is modeled, resolved, governed, and moved across systems so it can actually be used, for personalization, for analytics, and increasingly for AI
- You don't hand the architecture off and disappear. You stay hands-on, build the hard parts yourself, and own it through implementation
- You are as comfortable defining a data strategy in front of a VP as writing the pipeline that makes it real
- Standing up master data management upstream in the lakehouse, think Databricks, so that golden records and stable golden keys are resolved once, at the source, then feed clean, trusted identity into a CDP like Adobe Real-Time CDP rather than asking the CDP to stitch messy data on the fly
- You would also help build the practice
- You define how we do data across the company: the standards, the patterns, how we leverage data for AI, how we make it reusable across clients and platforms
- This seat is on a track to lead a growing data team
- You still write the code and design the pipelines yourself, and you want to
- You walk into an ambiguous enterprise problem, ask the right questions, find what is actually broken, recommend the architecture, explain the tradeoffs, and get both technical and executive stakeholders aligned behind it
- You turn what works into repeatable patterns: reference architectures, standards, and ways of working the rest of the team can follow
Skills
- You are a builder first. You still write the code and design the pipelines yourself, and you want to
- You consult, you don't just present. You walk into an ambiguous enterprise problem, ask the right questions, find what is actually broken, recommend the architecture, explain the tradeoffs, and get both technical and executive stakeholders aligned behind it
- Deep data engineering: pipelines and ETL or ELT at scale, data modeling, advanced SQL and Python, a major cloud platform, and production rigor (Git, CI/CD, orchestration)
- Real identity resolution depth: identity graphs, data stitching, unified profiles, and master data management with golden records and golden keys
- Strong data governance fundamentals: data quality, lineage, observability, data contracts, access and privacy, and the standards that make enterprise data trustworthy in production
- A point of view on data for AI: how a clean, governed, well-understood foundation is what makes AI usable rather than a liability
- Practice-building instinct. You turn what works into repeatable patterns: reference architectures, standards, and ways of working the rest of the team can follow
- 10+ years across data engineering and architecture, with a track record of both building enterprise systems and advising the organizations that depend on them
- U.S.-based candidates only
- We are not able to sponsor employment at this time
- Lakehouse fluency, ideally Databricks, and how to resolve identity and standardize data where it lives before it reaches downstream systems
- Adobe AEP, RT-CDP, or CJA experience is a plus, not the point
Benefits
- Remote work in the United States
- The role is on a track to lead a growing data team
- The role, compensation, and leadership scope grow as you help build the practice
- Work alongside highly experienced colleagues
- Direct ownership of work, decisions, and outcomes
Company Overview