Principal Consultant in Data & Analytics

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Project overview

Position overview

We are seeking a Principal Consultant in Data & Analytics to join the DataArt D&A Lab. This senior role serves as the primary in-account technical presence for one or more named strategic customers. You will build trusted relationships that enable DataArt to be invited into the customer's most critical data and AI decisions, converting that trust into recurring multi-quarter engagements. This is an existing-account role focused on nurturing strategic accounts the Lab already serves and expanding revenue within them. Pre-sales, go-to-market (GTM) strategy, and new-logo acquisition are managed elsewhere in the practice; you will not be staffed against those activities.

Within six months in this role, a Principal Consultant is expected to have:
* Established a senior-level trusted relationship with C-level stakeholders at one or more accounts.
* Developed and obtained signoff on a 12- to 24-month account plan in collaboration with the account manager.
* Landed or directly contributed to at least two multi-quarter data engagements within assigned accounts.
* Captured at least one partner-funded initiative (Snowflake, Databricks, or hyperscaler) on a real engagement.
* Met or exceeded target billable utilization.

Responsibilities

Build trusted partner relationships with senior client stakeholders (CIOs, CTOs, senior data leaders) and with the DataArt account managers who own the commercial relationship.
Co-develop a 12 to 24 month account plan with the account manager and senior leadership, framed around the data and analytics opportunities inside the customer.
Generate revenue within the assigned account portfolio by identifying data opportunities and enabling a range of data and analytics engagements; achieve target revenue goals against the portfolio.
Lead complex data architecture and strategy programs in the role of principal consultant: discovery sessions with senior stakeholders, architecture reviews, decision facilitation when projects hit hard tradeoffs.
Run collaborative working sessions with the customer's stakeholders to define and solve their data problems.
Contribute to strategic deliverables inside the account, including mission statements, assessment results, and roadmaps.
Identify where the account qualifies for partner-funded motions (Snowflake Service Funding, Databricks Accelerate, In-Deal Funding, co-sell). Partner with the Lab's partnership managers to assemble submissions and capture funded outcomes.
Pull Lab accelerators, blueprints, and reference architectures into the account where they fit. Bring repeatable customer problems back to the Lab as accelerator candidates.
Lead team development while supporting strategic client accounts.
Achieve the target billable utilization.

Requirements

10+ years in data and analytics consulting, advisory, or senior engineering roles, with at least 5 years in customer-facing senior consulting positions.
Hands-on experience driving data strategy, data governance, data maturity, and data-driven transformation engagements.
Hands-on experience influencing data solution design and technology selection for enterprise data platforms, warehouses, data lakes, lakehouses, and data science platforms.
Demonstrated experience growing a strategic customer relationship over multiple years, with measurable account expansion you can speak to specifically.
Comfort operating at the C-level. You have led discovery, architecture-review, and decision-facilitation sessions with CIOs, CTOs, or senior data leaders.
Strong communication. You can write a position paper, run an executive workshop, and explain a technical tradeoff to a non-technical stakeholder without losing precision.
Experience structuring multi-stream engagements and the senior judgment to know when to staff differently, when to escalate, and when to walk away from scope.
Track record of driving large data programs and the revenue growth within an account portfolio.
Strong experience with cloud data platforms and ecosystems such as Snowflake, Databricks, Amazon Web Services, Microsoft Azure, or Google Cloud Platform, supported by active certifications or recognized expertise (e.g., SnowPro Advanced, Databricks Certified Professional, AWS Data Analytics Specialty, or similar).
Preferred experience with partner program ecosystems, including Brickbuilder Specializations, Snowflake competency frameworks, and partner-funded delivery models.
Experience contributing reusable assets such as accelerators, blueprints, or reference architectures back to internal practices or service catalogs would be highly valued.
Experience within Finance, Retail, Healthcare, Travel, or Media domains would be highly valued, especially in strategic or industry-focused client engagements.

Nice to have

Public technical presence (conference talks, technical writing, open-source contributions) that establishes external credibility with senior customer stakeholders.
Multilingual capability for accounts where the customer's primary working language is not English.
Prior experience in a Big Four or strategic-consulting environment, alongside engineering depth

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