TensorOps is hiring a Solutions Architect | Data & Analytics to serve as a client-facing strategist and pre-sales leader. You will help organizations define and execute their modern data journey, shaping client outcomes and driving pipeline growth for the company.
What You'll Do
- Serve as a trusted data advisor to enterprise clients, guiding strategy and modernization.
- Lead client discovery sessions to capture requirements and translate them into actionable architecture recommendations.
- Evaluate enterprise data warehouse, lakehouse, and analytics architectures for feasibility and scalability.
- Design and recommend modern data architectures across cloud and hybrid ecosystems.
- Develop and deliver executive-ready presentations, proposals, and Statements of Work.
- Produce level-of-effort estimates, solution pricing inputs, and ensure clean presales-to-delivery handoffs.
- Collaborate with Cloud, Infrastructure, and Security teams to design converged solutions.
- Partner with the Data & Analytics practice to refine go-to-market strategy and offerings.
- Drive pipeline creation and growth through proactive client engagement and opportunity qualification.
- Build and maintain referenceable client relationships to ensure long-term trust.
- Lead workshops, demos, proofs-of-value, and thought leadership sessions.
What We're Looking For
- 7+ years of experience in data architecture, data engineering, or analytics platform design.
- At least 5+ years in a client advisory, pre-sales, or consulting capacity.
- Solid expertise in data architecture, including data modeling, ETL/ELT pipelines, and performance optimization.
- Demonstrated ability to design and implement enterprise data platforms across on-premises and cloud environments.
- Hands-on experience with modern data technologies such as Snowflake, Databricks, or BigQuery.
- Working knowledge of data governance, analytics enablement, and related domains like Cloud and Security.
- Experience supporting sales cycles through solution design, proposal development, and presentations.
- Strong communication skills to present technical concepts to both technical and non-technical audiences.
- Ability to create high-quality deliverables including architecture diagrams and technical documentation.
- Business acumen to connect data solutions to business outcomes and ROI.
- Ability to work independently and as part of cross-functional teams.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
Nice to Have
- Familiarity with AI/ML applications and their integration into data ecosystems.
- Prior experience working for a consulting or technology organization in a client-facing capacity.
- Relevant certifications such as AWS/Azure/GCP Architect, Snowflake SnowPro, or Databricks Certified Data Engineer.
Technical Stack
- AWS
- Azure
- GCP
- Snowflake
- Databricks
- Microsoft Fabric
- Synapse
- BigQuery
Team & Environment
This role is part of the Data & Analytics practice and collaborates closely with Cloud, Infrastructure, and Security teams.
Benefits & Compensation
- Comprehensive medical, dental and vision plans for you and your dependents.
- 401(k) Retirement Plan with Employer Match.
- 529 College Savings Plan.
- Health Savings Account.
- Life Insurance.
- Long-Term Disability.
- Competitive Compensation.
- Training and development programs.
- Major offices stocked with snacks and beverages.
- Collaborative and cool culture.
- Work-life balance and generous paid time off.
- Salary range: $150,000 - $200,000 USD.
Work Mode
This is a remote position open to candidates in Chicago, Illinois, United States.
As an equal opportunity employer, TensorOps bases all employment decisions on individual qualifications, merit, and business requirements. The company does not engage in discrimination on the basis of race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age (40 or older), disability, genetic information, or any other characteristic protected by law.
