Delivery Solutions Architect - Digital Native Business

Accountabilities: Define and influence technical execution strategies across complex customer use cases and multiple workstreams within strategic accounts.

Serve as a trusted technical advisor to customer technical leads and architects, leading architecture discussions and guiding key technical decisions.

Design secure, governed, scalable, and production-ready data and AI architectures while balancing performance, cost, reliability, and long-term requirements.

Build and demonstrate working solutions, prototypes, and reusable technical assets that accelerate customer outcomes and adoption.

Anticipate platform maturity and scaling requirements while establishing best practices for security, governance, operational excellence, and technical reliability.

Drive adoption and consumption by influencing architecture, removing technical blockers, and connecting technical execution to measurable business outcomes.

Partner with customer, implementation, and internal teams to align resources, manage risks, and accelerate delivery.

Evaluate technical trade-offs and validate proposed solutions through structured analysis, experimentation, and hands-on development.

Lead technical discussions with architects, engineering leaders, and senior customer stakeholders throughout complex engagements.

Mentor peers and contribute reusable technical frameworks, guidance, demonstrations, and enablement materials that can scale across teams.

Requirements

5+ years of experience in solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or a related technical discipline.

Experience influencing technical strategy and architecture across complex customer use cases or multiple concurrent workstreams.

Strong coding proficiency in Python, SQL, Scala, or similar languages, with the ability to build, debug, and validate technical solutions.

Deep understanding of distributed data systems, data engineering, analytics, data warehousing, AI/ML, and modern cloud architectures.

Experience designing secure, governed, scalable, and production-ready data solutions.

Ability to solve ambiguous technical problems, assess trade-offs, and validate solutions through structured analysis or experimentation.

Experience leading architecture discussions with technical leads, architects, and senior customer stakeholders.

Strong understanding of operational excellence, including security, governance, performance, reliability, and cost optimization.

Demonstrated ability to drive customer adoption, platform consumption, and measurable business outcomes through technical leadership.

Strong stakeholder management and cross-functional leadership skills, with the ability to influence and align teams without formal authority.

Bachelor’s degree in Computer Science, Engineering, or equivalent professional experience.

Experience with Databricks or relevant certification is a plus.

Developing expertise in areas such as AI/ML, data engineering, streaming, data warehousing, governance, or data migrations is a plus.

Experience with AWS, Azure, or GCP and production cloud deployments is a plus.

Experience creating reusable technical frameworks, demonstrations, or enablement materials is a plus.

Benefits

U.S. local pay range of $180,000 - $247,500 USD .

Potential eligibility for an annual performance bonus.

Equity eligibility as part of the overall compensation package.

Comprehensive regional benefits and perks.

Opportunities for professional growth through technical specialization and expanded customer-facing responsibilities.

Opportunity to work across data engineering, analytics, cloud architecture, AI/ML, governance, and migration initiatives.

Customer-facing exposure and collaboration with technical leaders, architects, implementation teams, and strategic stakeholders.

Up to 30% travel as needed.

Opportunity to develop reusable technical frameworks, prototypes, and enablement resources across teams.

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