**This position can be remote, within 300 miles of Washington D.C. preferred.

About Infinitive
Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment.

Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 9 times, most recently in 2026. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.”

About the Role
Infinitive is seeking a high-performing New Logo Account Executive to convert business acumen, data strategy insights, and Databricks market knowledge into unique and differentiated business solutions for clients and prospects.

The Account Executive is responsible for identifying opportunities across both commercial enterprises and public sector organizations for Infinitive to leverage its deep industry expertise in helping clients solve complex business problems. In this role, you will have the opportunity to work with a world-class technology and transformation consultancy in its pursuit of net-new logos and new buyers within existing clients who are looking to modernize their data ecosystems.

The successful candidate will have consultative selling experience and deep domain expertise in Data Architecture, Advanced Analytics, and modern Data Lakehouse platforms. Familiarity with the value propositions of Cloud Computing and DevOps is essential. An appetite for learning about emerging data technologies is critical, as Infinitive continues to expand its footprint in areas such as Generative AI, Machine Learning (MLOps), and Data Governance. A passion for studying and understanding modern data trends will serve the successful candidate well. In this role, you will work closely with market leadership to shape Infinitive’s data offerings and its response to evolving market demands. An aggressive hunter mentality and strong experience leveraging Databricks' partner networks are critical to success in this role.

Key Responsibilities
Lead Generation & Databricks Co-Selling

Identify, prioritize, and track target accounts and contacts leveraging various research, prospecting, and networking tools, specifically targeting commercial and public sector entities seeking to migrate to, optimize, or scale their Databricks environments.
Collaborate closely with Databricks field sales and account teams to build a shared pipeline, tap into co-sell initiatives, and identify warm leads within the Databricks ecosystem.
Qualify potential opportunities for customer fit, data maturity, procurement vehicles (for public sector), budget, and timeline.
Create and cultivate relationships with potential net-new customers through virtual and in-person meetings, presentations, speaking engagements, and other strategic communication channels.
Maintain a high level of Salesforce hygiene, updating regularly throughout the evolution of the opportunity.

Pipeline Management

In concert with the Infinitive Data Engineering and Sales Engineering teams, develop and demonstrate thought leadership regarding Databricks deployments (Lakehouse architecture, Delta Lake, Unity Catalog) that addresses client needs and advances client initiatives.
Qualify prospective customer opportunities to ensure time spent is aligned with quarterly sales and revenue objectives.
Understand sales funnel methodology and possess the ability to rapidly generate and maintain a 3-4X pipeline of data-focused opportunities across target commercial, public sector, and partner-driven markets.

Sales Process Management

Drive the sales cycle from end-to-end, including facilitation of sales meetings, client data discovery sessions, coordination of Infinitive data architects, proposal creation, project estimation, and client presentations.
Actively work with prospects to identify data project requirements, pain points (e.g., data silos, compliance requirements, high cloud spend, slow analytics performance), and potential Databricks-driven solutions.
Create non-complex proposals, RFP, and RFI responses in an independent manner, navigating commercial buying cycles and formal public sector procurement processes.
Connect cross-functional team members to create complex data transformation solutions and associated enterprise proposals.

Deal Closing

Understand client decision-making processes and all associated stakeholders (including Chief Data Officers, VPs of Analytics, Agency Directors, and Enterprise Architects).
Work with clients to understand obstacles associated with proposed solutions (such as data security, sovereign cloud requirements, or migration risks) that would interfere with closing the contract.
Facilitate understanding of customer issues and resolve or escalate accordingly.
Gain client commitment and signature on contracts in a timely fashion.
Meet agreed-upon sales quotas and activity-based scorecard expectations.

Qualifications

6+ years of demonstrated consultative sales or account management experience, with a many-sided track record of selling technology services, data consultancies, or cloud solutions.
Demonstrated success selling Data Solutions, with specific experience articulating the business value of data platform modernizations, AI/ML readiness, or cloud data warehousing.
Proven track record of partnership co-selling, including building strong relationships with account executives.
Experience navigating both Commercial and Public Sector sales cycles is highly preferred, including familiarity with corporate procurement and public RFP/contract vehicle frameworks.
Proven ability to consistently uncover net-new business opportunities within the data and analytics space and successfully shepherd them to close.
Strong technology and business acumen, specifically around data engineering pipelines, business intelligence, and cloud data architecture.
Experience with Databricks and the Databricks partner ecosystem is not required, but preferred.
Ability to rapidly engender trust with C-level and public sector executives (CDOs, CIOs, CTOs, Directors) and facilitate positive outcomes.
Strong executive presence and presentation skills.
Outstanding communication and collaboration skills.
Ability to work as an individual contributor or team player.
Willingness to travel as required by clients and prospects.

About the company

Infinitive is a transformation and technology consultancy that helps global brands achieve measurable results through strategy, technology enablement, and organizational change. Its services combine deep industry and technology expertise with tailored team placements to drive adoption of new capabilities and deliver a high return on investment. The company emphasizes matching its people to a client’s culture and building the right mix of talent and skills to sustain impact. Infinitive differentiates itself through its recognized strong workplace culture, which has earned coverage and awards from outlets like Inc. magazine, The Washington Post, Consulting Magazine, and the Washington Business Journal, and by prioritizing practical outcomes over flashy promises. The goal is to empower clients to transform operations and technology systems in a way that yields lasting improvements and business value.

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

Ashburn, Virginia

Founded

2003

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Simplify's Take

What believers are saying

Infinitive hosted Databricks events in June 2026, signaling active channel demand.
Infinitive published August 2026 content on agentic AI and policy management, showing momentum.
LeadIQ estimated 187 employees in August 2026, indicating a growing delivery bench.

What critics are saying

Databricks can disintermediate Infinitive by selling migration services directly in 2026.
At 187 employees, losing one anchor client crushes utilization and revenue quickly.
Consultancy demand for transformation work depends on enterprise budgets, now tightening in 2026.

What makes Infinitive unique

Infinitive is a Databricks Silver Tier Partner, validated in February 2026.
Infinitive sells niche data-migration accelerators for regulated enterprises, not generic staffing.
Infinitive’s workplace brand wins Consulting Magazine, Washington Post, and Washington Business Journal recognition.

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Benefits

Hybrid Work Options

Company News

Infinitive

Nov 7th, 2025

Data Migrations: How Infinitive Anticipates Challenges by Utilizing Databricks

Data migrations: how Infinitive anticipates challenges by utilizing Databricks. In a previous post, Infinitive, Inc. introduced the Infinitive Databricks Data Migration Accelerator, a strategic framework designed to fast-track your move to a modern lakehouse architecture. However, a successful migration isn't just about speed; it's about anticipating and mitigating the inevitable complexities that arise when moving foundational business data. Migrating financial or customer data, or any other type of sensitive data, can introduce risk to the operation efficiency of any organization. At Infinitive, Infinitive, Inc. leverage Databricks tools and its deep experience to proactively address these risks, transforming them from potential roadblocks into managed checkpoints. Data quality & testing. Risk: Inconsistent or poor-quality source data is the primary cause of downstream errors. Furthermore, verifying that millions of records have been accurately moved and transformed is often the most time-consuming part of the process. Proactive Solution: Part of its meta-data driven framework is performing automated data profiling and cleansing before the migration begins. Post-migration, Infinitive deploys its augmented Lakebridge data validation system to certify the data was not corrupted in transit. When put together, these rigorous quality checks ensure that your company's data is clean and consistent at key parts of the migration process. Additionally, its automated testing process reduces the amount of time spent manually validating records. Data scalability and latency. Risk: Migrating petabytes of data can overwhelm a target system, leading to performance degradation and cost spikes. Additionally, any disruption in data synchronized during the cutover window (data latency) could derail business operations. Proactive Solution: This is where Databricks Platform Capabilities shine. Infinitive, Inc. utilize the platform's massively parallel processing (MPP) architecture and open-source Delta Lake data storage to handle large datasets efficiently without compromising performance. For minimizing data latency, Infinitive, Inc. implement Change Data Capture (CDC) strategies, using Databricks' streaming capabilities to keep the old and new platforms in sync right up to the final, low-impact cutover. Data Transformation and dependencies. Risk: Source and target schemas are rarely identical, making Data Transformation and Schema Mapping complex. Adding to this complexity, data rarely exists in a vacuum; understanding Data Dependencies & Referential Integrity is vital to ensure related records are moved in the correct sequence. Proactive Solution: One of the greatest advantages of an automatic, meta-data driven pipeline is that the process of building data pipelines is streamlined. Infinitive, Inc. only need to update the metadata files and configurations for multiple pipelines can be updated all in one place, streamlining ongoing maintenance. To tackle data dependencies, Infinitive, Inc. apply decades of experience in granular process mapping and documentation. This experience, along with Databrick's robust processing engine, allows Infinitive to execute complex, multi-stage transformations efficiently, ensuring referential integrity is maintained throughout the process. Risk: The fear of a prolonged outage during cutover and downtime is a major deterrent for many organizations. Proactive Solution: Infinitive can prevent outages by provisioning the lakehouse as a parallel system to your company's current data solutions. Infinitive, Inc. then replicate your data and dependencies in Databricks until your systems are fully functional in the new environment, at which point Infinitive, Inc. will seamlessly cutover. This methodology ensures little downtime and no outages, so your company can still work as usual while the migration takes place. Risk: data security & compliance with regulations like GDPR or HIPAA already cause many companies headaches, even without trying to migrate data systems. Proactive Solution: For security, Infinitive, Inc. utilize Databricks Platform capabilities like Unity Catalog that are compliant with HIPAA, FEDRAMP High, IRAP, and many other regulatory standards. Additionally, Databricks itself is a GDPR compliant organization, and their platform can easily be configured to provide GDPR compliant services. Migrating your company's foundational data doesn't have to be a high-stakes gamble. At Infinitive, Infinitive, Inc. understand that minimizing risk, from ensuring data quality and managing scalability to preserving referential integrity and guaranteeing compliance, is just as important as the speed of your transition. By combining the powerful features of the Databricks Platform with its decades of practical industry experience and automation framework, Infinitive, Inc. transform data migration from a daunting challenge into a predictable, managed process. Stop letting the fear of downtime and data inconsistency keep you tied to legacy systems. Take the first step toward a more secure, efficient, and scalable lakehouse architecture and contact Infinitive today.

PR Newswire

Apr 14th, 2023

Infinitive Announces New Retail Media First Party Data Analytics And M

“We have over 20+ years consulting in the retail and media space and understand the business and technology challenges our clients face daily.” said Denis McFarlane, CEO of Infinitive. “We are pleased to be able to help businesses optimize their First Party data to increase their revenue.” . .