Data Solutions Architect

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.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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