Some job listings quietly describe an entire career. This one does. A remote Lead Consultant – Power BI&A role is now open, and the description reads less like a checklist and more like a map of where business intelligence work is heading.
It asks for advanced Power BI knowledge — Power Query/M, DAX, dimensional modeling — and then keeps going. Databricks. SQL Server. Licensing strategy. Client conversations. The role sits at the intersection of engineering and advisory work, and that combination is the real story here.
What This Power BI Lead Consultant Role Actually Demands
The core requirement is advanced Power BI expertise, specifically Power Query/M, DAX and dimensional modeling, along with basic report design skills. These are the building blocks of any serious BI practice.
But the listing goes further. It expects working knowledge of conventional SQL Server — data warehouse design, SSIS and SSRS — plus DirectQuery. That means the hire is expected to move comfortably between legacy infrastructure and modern cloud tooling.
Then comes Databricks. The role requires experience developing, implementing and optimizing data pipelines and workflows on the platform. That is a data engineering expectation layered on top of a BI consulting job.
Why the Licensing Clause Changes the Nature of This Job
Most Power BI job posts mention licenses in passing. This one does not. The description states the consultant must understand Power BI license models and work with customers to find the most optimal licensing structure for their business needs.
That single line reframes the role. It is not just about building dashboards — it is about advising clients on cost and architecture decisions that affect budgets. A consultant who can explain why a particular licensing tier fits a client's usage pattern is worth considerably more than one who only writes measures.
For professionals eyeing this role, that is the differentiator to prepare for. Licensing conversations require commercial awareness, not just technical fluency.
The Communication Requirement Is Not Filler
The listing is explicit: strong communication skills are needed to regularly deal with clients and their staff, as well as specialists from related fields including database developers and software engineers.
This is a lead consultant position, which means translation work. Explaining a DAX performance issue to a business stakeholder, or a data model constraint to a software engineer, is a distinct skill from building the model itself.
Candidates who can demonstrate client-facing experience — not just project delivery — will stand out in screening.
What the Remote Element Signals About BI Hiring
The role is fully remote, which places it in a growing category of senior analytics positions that no longer require office presence. For consulting work specifically, remote delivery has become normal rather than exceptional.
It also widens the candidate pool considerably. A consultant based in a smaller city can now compete for the same role as someone in a metro, provided the technical and client-handling skills match.
The trade-off is that remote consulting demands stronger written and asynchronous communication, since much of the client interaction happens over calls and documentation rather than in person.
Confirmed Requirements vs What the Listing Leaves Open
Confirmed from the description: advanced Power BI with Power Query/M, DAX and dimensional modeling; basic report design; working knowledge of SQL Server, SSIS, SSRS and DirectQuery; Databricks pipeline development; Power BI licensing advisory; and strong client communication.
Not specified: salary range, years of experience required, team size, industry vertical, or whether the Databricks work is greenfield or maintenance of existing pipelines. Candidates should clarify these in early conversations rather than assume.
The listing also does not state whether certification in Power BI or Databricks is preferred, though such credentials are commonly valued in consulting roles.
Where the Real Skill Gap Sits for Most Applicants
Plenty of analysts know Power BI well. Fewer can claim genuine Databricks pipeline experience alongside it. Fewer still can hold a licensing conversation with a client's finance team.
That gap is the opportunity. Professionals who invest in the Databricks side of the stack, or who deliberately build client-advisory exposure, move into a much smaller and better-compensated candidate pool.
The reverse is also true. A strong Databricks engineer with weak DAX and modeling fundamentals will struggle with the reporting side of this role.
Risks and the Balanced View on Roles Like This
Broad job descriptions can signal a role that is stretched thin. When one hire is expected to cover BI development, data engineering and licensing advisory, there is a fair question about workload and whether the position is really two jobs in one.
Remote senior consulting roles can also blur boundaries, with client calls extending beyond standard hours across time zones. Candidates should ask directly about expectations here.
On the other side, roles with this breadth tend to build unusually transferable skills. Someone who delivers on all three fronts becomes difficult to replace.
The Wider Shift in Analytics Hiring
This listing reflects a broader pattern: the line between BI developer and data engineer is thinning. Organizations increasingly want people who can move from raw pipeline to polished report without handing off between teams.
Tool consolidation plays a role. When Power BI, Databricks and SQL Server all live in the same stack, employers naturally look for one person who understands how the pieces connect.
For job seekers, the practical implication is clear — depth in a single tool is no longer enough at the senior consulting level.
Practical Guidance If You Plan to Apply
Before applying, audit your own experience honestly against the four pillars: Power BI depth, SQL Server and DirectQuery familiarity, Databricks pipeline work, and client-facing licensing conversations.
If Databricks is your weak point, that is the highest-return area to strengthen. If licensing advisory is unfamiliar, study how Power BI capacity and per-user models differ in cost and use case.
Prepare concrete examples of client interactions where you influenced a technical or commercial decision. For a lead consultant role, that evidence often matters more than a list of tools.
Future Outlook
Demand for consultants who can bridge BI and data engineering is likely to hold, given how many organizations are consolidating their analytics stacks.
Whether this specific role stays open long is unclear, but the skill profile it describes is unlikely to go out of demand soon.
Our Take
This listing is worth reading even for people who never apply. It is a fairly honest snapshot of what senior analytics consulting now expects — technical depth across two disciplines, plus the commercial literacy to advise clients on cost.
The licensing requirement is the detail most candidates will overlook, and probably the one that separates the shortlisted from the rest.
Frequently Asked Questions
What skills does the Lead Consultant Power BI&A remote role require?
Advanced Power BI including Power Query/M, DAX and dimensional modeling, basic report design, working knowledge of SQL Server, SSIS, SSRS and DirectQuery, plus Databricks pipeline development and Power BI licensing advisory.
Is Databricks experience mandatory for this Power BI consultant job?
Yes. The job description states the candidate must have experience using the Databricks platform to develop, implement and optimize data pipelines and workflows.
Why does the role require Power BI licensing knowledge?
Because the consultant is expected to work with customers to identify the most optimal licensing model for their business needs — a commercial advisory duty, not just a technical one.
Is this a fully remote position?
The listing describes the role as remote, with regular interaction with clients, their staff, database developers and software engineers.
