
Data Solutions Architect
jobgether · US
About The Role
- This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Solutions Architect based in United States.
- This role offers the opportunity to shape how organizations transform complex data into scalable, AI-ready solutions that drive business outcomes.
- You will act as a strategic technical partner, connecting customer needs with innovative data architectures and solution designs.
- Working across sales, delivery, product, and engineering teams, you will help define solutions that are reliable, scalable, and built for long-term success.
- You will design modern data ecosystems that support AI agents, automation, analytics, and evolving business requirements.
- Your expertise will help customers unlock the full value of their data while ensuring technical feasibility and operational excellence.
- This is a high-impact opportunity for a customer-focused architect who thrives at the intersection of technology, strategy, and innovation.
Accountabilities
As a Data Solutions Architect, you will be responsible for translating complex customer requirements into scalable data solutions while ensuring alignment between technical capabilities and business objectives. You will serve as a trusted technical advisor throughout the customer lifecycle, helping teams design, validate, and deliver data architectures that support AI-driven workflows and future growth.
- Collaborate with customers and internal teams to conduct technical discovery, define solution requirements, and design scalable data architectures tailored to specific business needs.
- Act as the primary technical representative during solution design discussions, mapping data flows from source systems through downstream platforms and applications.
- Architect AI-ready data layers by designing structures, documentation, governance models, and frameworks that enable reliable use by AI agents, LLMs, and automated workflows.
- Analyze and validate large datasets to assess data quality, availability, coverage, and technical feasibility throughout the sales and delivery process.
- Design and evaluate data matching and entity resolution strategies to ensure accuracy, consistency, and completeness.
- Leverage AI tools, large language models, and emerging technologies to accelerate data exploration, documentation, and solution development.
- Build repeatable frameworks for technical discovery, data documentation, and solution architecture across sales and delivery teams.
- Create and deliver technical presentations, workshops, and demonstrations for both technical audiences and executive stakeholders.
- Identify potential scope, data, or implementation challenges early and proactively guide customers toward successful outcomes.
- Partner with cross-functional teams to continuously improve customer experience, solution quality, and long-term adoption.
Requirements
The ideal candidate combines strong data architecture expertise with customer-facing communication skills and the ability to translate technical concepts into business value. You should have experience designing modern data solutions, working with enterprise customers, and navigating complex technical environments.
- Bachelor’s degree in Computer Science, Information Systems, Business, or a related technical field.
- 5+ years of experience in data architecture, solutions engineering, technical consulting, or a similar customer-facing technical role, preferably within SaaS or enterprise technology environments.
- Strong data analysis capabilities, including the ability to query, interpret, and validate large datasets; experience with SQL is beneficial.
- Familiarity with AI-assisted workflows, large language models, AI copilots, and emerging technologies used for data exploration and solution development.
- Experience designing AI-ready data models, schemas, and pipelines that support automation, AI agents, and intelligent decision-making.
- Understanding of data integration approaches including APIs, flat files, direct system integrations, CRM platforms, marketing automation tools, and data warehouses.
- Strong presentation and communication skills, with the ability to engage technical teams, business leaders, and executive stakeholders.
- Proven ability to build trusted relationships with customers and internal teams while managing technical complexity.
- Ability to establish structure, processes, and direction when guiding customers through uncertain technical challenges.
- Experience with go-to-market platforms, customer intelligence solutions, or comparable technologies is a plus.
- Knowledge of large-scale database, analytics, and data warehouse technologies is beneficial.
Benefits
- Competitive base salary range of $98,000 - $154,000 USD, with additional compensation opportunities depending on eligibility.
- Comprehensive benefits package designed to support employees and their families.
- Holistic wellness programs supporting mental, physical, and lifestyle well-being.
- Flexible remote work environment.
- Opportunities to work with advanced AI technologies and innovative data solutions.
- Collaborative culture focused on learning, growth, and meaningful impact.
- Career development opportunities within a fast-moving technology environment.
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