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- Employment
- Full-time
About the role
- A flexible remote work policy with optional access to our Portland, Maine office
- A 4-day workweek after 3 years of service
- Generous paid time off, including 11 holidays
- Medical, disability, life insurance, and optional dental/vision
- 401(k) retirement plan with company match
- Training & certification reimbursement
- Milestone recognition programs, annual PTO increases, and more
Key Responsibilities
- Build and expand relationships with new and existing partners that operate in the Data Lake, Data Warehouse and Business Intelligence markets
- These partners may be technology vendors, consultants or other operators in the markets and industries Arkatechture sells into
- These relationships should become a source of referrals and co-selling opportunities for you
- Build and expand relationships with mid-market and enterprise clients, serving as a trusted advisor on data and analytics initiatives
- Develop executive-level relationships with CIOs, CTOs, CDOs, CFOs, and business leaders
- Identify opportunities for long-term strategic partnerships and account expansion
- Lead discovery conversations focused on understanding business objectives and organizational challenges, not just technical requirements
- Translate client needs into tailored consulting engagements across:
- Data strategy & governance
- Data platform modernization
- Cloud data platforms and lakehouse architectures
- Business intelligence & analytics
- AI / ML enablement
- Partner with internal delivery and technical teams to co-create solutions and develop compelling proposals
- Articulate the value of Arkatechture’s consulting capabilities in a way that connects technical solutions to measurable business outcomes
- Own the full sales lifecycle including sourcing, qualification, solutioning, proposal development, negotiation, and close
- Build and maintain a healthy, predictable pipeline aligned to revenue goals
- Drive high-value consulting engagements and strategic services opportunities
- Maintain accurate forecasting and pipeline visibility within HubSpot (or similar CRM)
- Partner closely with consulting, delivery, and practice leaders to ensure proposed solutions are achievable, impactful, and aligned with client goals
- Provide market feedback to help shape service offerings and go-to-market strategy
- Collaborate cross-functionally to prioritize opportunities based on strategic alignment and delivery capacity
Skills, Knowledge and Expertise
- 5–10+ years of experience selling consulting or professional services, preferably within:
- Data & analytics consulting
- Cloud/data platform services
- Digital transformation or technology advisory services
- Knowledge of modern cloud and data platforms including Snowflake, Databricks, AWS, Azure, and GCP
- Proven experience managing complex consultative sales cycles with mid-market and enterprise organizations
- Demonstrated success closing high-value, services-based engagements
- Strong consultative selling mindset with the ability to lead with questions, discovery, and business value
- Ability to connect technical solutions to executive-level business priorities
- Excellent communication, presentation, and proposal development skills
- Executive presence with the ability to build trust and influence senior stakeholders
- Highly organized, self-driven, and comfortable managing multiple opportunities simultaneously
- Experience using CRM platforms such as HubSpot or Salesforce
- Bachelor’s degree or equivalent professional experience
- Experience selling into financial services, fintech, healthcare, retail, or other highly data-driven industries
- Familiarity with modern data architectures, cloud modernization initiatives, analytics engineering, and AI ecosystems
- Existing network within target industries or partner ecosystems
- Experience working in a boutique consulting, services-oriented, or fast-growing technology environment
- Experience collaborating closely with delivery teams during pre-sales and solution design
Perks & benefits
- 401k
- Paid Time Off
- 4 Day Workweek
- Pension Matching
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