Data Solutions Consultant - Microsoft

Full-Time · Greater Denver Area (Denver & Northern Colorado) · No Sponsorship

About The Doyle Group

The Doyle Group is a proven partner for Placement and Consulting services, headquartered in Denver, CO. Our core mission is to forge genuine partnerships with our clients who seek strategic talent solutions and to assist highly skilled candidates looking for their next career opportunity. With over 30 years of industry experience, our consultative approach allows us to provide a higher level of guidance and insight, empowering our clients to secure top IT talent that fits seamlessly into their team and culture. We look forward to collaborating to help you achieve your career goals.

Position Summary

Our client is a growing Microsoft Fabric and analytics consultancy that helps mid-market companies turn their data into a strategic asset. They design and deliver modern data platforms and dashboards for industrial, services, and private equity-backed organizations, replacing fragmented, manual reporting with tools leadership teams actually trust and use.

As opportunity volume grows, they are adding a Solutions Consultant to bring delivery-minded technical judgment into the earliest stages of every engagement. Sitting within the delivery organization and partnering closely with Account Executives, you will be the technical point person from first discovery through a clean handoff to delivery: leading discovery, shaping solutions, building demos, and producing estimates and statements of work that are clear, credible, and executable. The goal is not simply to move deals forward; it is to set both the client and the delivery team up for a strong start.

This role is a great fit for a hands-on data or BI practitioner who has spent time in front of clients and knows what good scoping protects and what a vague SOW costs a delivery team. You will juggle roughly 10–15 active opportunities at a time, switch contexts quickly without losing precision, and communicate just as comfortably with a CIO or CFO as with a data engineer. You will also have real influence over how this function evolves, so the client is looking for someone who brings a point of view, high standards, and low ego.

This is a full-time, direct-hire position based in the Greater Denver Area, with offices in both Denver and Northern Colorado. Variable compensation is tied to team outcomes such as deal quality, win rate, and pipeline movement rather than an individual sales quota. Candidates must be authorized to work in the United States without current or future visa sponsorship.

Responsibilities

• Lead technical discovery with prospective clients to understand their data environment, business priorities, constraints, and intended outcomes.
• Partner with Account Executives in client meetings, serving as the technical lead in every conversation.
• Shape solution approaches across Microsoft Fabric, Power BI, Azure, and the broader modern data stack.
• Explain architecture options and trade-offs clearly to both technical and executive audiences.
• Translate discovery findings into well-scoped proposals, statements of work, level-of-effort estimates, and supporting technical documentation.
• Turn around proposals and SOWs within 2–3 business days of completed discovery to keep opportunities moving.
• Build and deliver tailored demonstrations that show clients how their specific problem would be solved.
• Manage a shifting portfolio of roughly 10–15 concurrent opportunities at different stages without losing momentum or detail.
• Collaborate with the delivery team before deals are signed so assumptions are validated, risks are visible, and handoffs are clean.
• Work within each client’s existing environment, including non-Microsoft platforms, rather than forcing a preferred answer.
• Capture delivery feedback and use it to continuously improve scoping, estimating, and expectation-setting.
• Help establish and improve the sales-to-delivery process, contributing to win-rate and handoff-quality goals.

Minimum Experience

• 4+ years of hands-on experience in analytics engineering, data engineering, business intelligence, or technical consulting delivery, with direct client exposure.
• 2+ years (within the above) leading client-facing presales or pre-engagement work, including:
• Technical discovery with business and technical stakeholders
• Solution design and architecture recommendations
• Scoping, level-of-effort estimating, and SOW development
• Building and delivering client demonstrations
• Strong working knowledge of the Microsoft data ecosystem, including:
• Microsoft Fabric (lakehouse, warehouse, data pipelines/Data Factory)
• Power BI (semantic modeling, DAX, report and dashboard design)
• Azure data services (e.g., Azure Data Factory, Azure SQL, Synapse, Data Lake Storage)
• Hands-on exposure to at least one additional cloud or data platform, ideally Snowflake or Google Cloud (BigQuery).
• Consulting or client-facing delivery experience, with a clear understanding of how scoping decisions affect delivery teams.
• Proven ability to turn an ambiguous client need into a solution approach, a realistic level of effort, and a clear statement of work.
• Comfort communicating with a wide range of stakeholders, from CIOs and CFOs to data engineers and internal delivery leads.
• Strong written communication and the organizational discipline to keep 10+ live opportunities moving at once.
• Bachelor’s degree or equivalent professional experience.
• Must be legally authorized to work in the United States without sponsorship now or in the future.

Additional Plus

• Prior experience in a consultancy or Microsoft partner environment, ideally on the delivery side before moving into presales.
• Experience scoping and delivering engagements for private equity-backed or mid-market companies.
• Background working with finance and executive stakeholders on KPI, financial, or operational reporting.
• Experience building repeatable scoping frameworks, estimating models, or proposal templates.
• Microsoft certifications such as Fabric Analytics Engineer (DP-600), Fabric Data Engineer (DP-700), or Power BI Data Analyst (PL-300).
• Familiarity with modern data tooling such as dbt, Databricks, or Python-based data engineering.
• Experience tracking presales metrics such as win rate, proposal turnaround, and pipeline progression.

Salary Range

$130,000–$150,000 annually (base), plus a 20% variable component · OTE $156,000–$180,000

Variable compensation is tied to team outcomes such as deal quality, win rate, and pipeline movement rather than an individual sales quota.

Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, location, and experience, and may fall outside of the range shown.