Solutions Architect

United States Digital Space LLC; Bengaluru; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

United States Digital Space LLC is seeking a seasoned Solutions Architect in Bengaluru to lead strategic data/AI engagements. You will act as a trusted advisor, shaping GenAI architectures, and guiding customers through end‑to‑end data and AI solutions.

You will collaborate with sales and cross‑region teams, build reference architectures, and promote open‑source initiatives. Strong cloud experience and travel willingness are required.

Qualifications

• 12+ years in data engineering, data science, technical architecture, or a similar pre‑sales / consulting role.
• 8+ years hands‑on experience with Big Data and AI technologies, including Apache Spark™, data engineering, data science, and modern AI/ML workloads.
• Strong hands‑on architectural experience — able to whiteboard, design, and personally build end‑to‑end solutions, not just advise.
• Demonstrated experience working with large enterprise or Fortune 500 customers; experience supporting global accounts across multiple geographies strongly preferred.
• Experience working with digital‑native or SaaS enterprises with mature data and AI practices is a strong plus.
• Strong consulting / customer‑facing experience working with external clients across a variety of industries.
• Hands‑on experience with at least one major public cloud (AWS, Azure, or GCP).
• Available to travel to customers in your region and occasionally internationally.

Responsibilities

• Be the trusted technical advisor for one or more named strategic accounts — building deep, durable relationships with their data, AI/ML, and platform engineering leaders, and earning a seat at the table for their most important architectural decisions.
• Help shape and drive your customer's AI strategy — partnering with their data science, ML, and AI platform teams to design GenAI and ML architectures, evaluate build-vs-buy decisions, and turn AI ambitions into production systems deployed on the company.
• Partner with the sales team and provide hands‑on technical leadership to help large enterprise customers understand how the company can help solve their business problems across the full data and AI lifecycle.
• Consult on modern Lakehouse architectures and implement proofs of concept for strategic projects spanning data engineering, data warehousing, machine learning, GenAI—including validating integrations with cloud services, in‑house tools, and third‑party applications.
• Work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with the company.
• Collaborate across regions with fellow Solutions Architects and account teams, supporting our customers with consistent architectural guidance across their international footprint.
• Become an expert in, promote, and recruit contributors for the company‑inspired open‑source projects (Spark, Delta Lake, MLflow, Unity Catalog) across the developer community.

Skills

Python

SQL

Scala

Java

R

Apache Spark

AWS

Azure

GCP

Job description

The impact you will have

• Be the trusted technical advisor for one or more named strategic accounts — building deep, durable relationships with their data, AI/ML, and platform engineering leaders, and earning a seat at the table for their most important architectural decisions.

• Help shape and drive your customer's AI strategy — partnering with their data science, ML, and AI platform teams to design GenAI and ML architectures, evaluate build-vs-buy decisions, and turn AI ambitions into production systems deployed on the company.

• Partner with the sales team and provide hands‑on technical leadership to help large enterprise customers understand how the company can help solve their business problems across the full data and AI lifecycle.

• Consult on modern Lakehouse architectures and implement proofs of concept for strategic projects spanning data engineering, data warehousing, machine learning, GenAI—including validating integrations with cloud services, in‑house tools, and third‑party applications.

• Work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with the company.

• Collaborate across regions with fellow Solutions Architects and account teams, supporting our customers with consistent architectural guidance across their international footprint.

• Become an expert in, promote, and recruit contributors for the company‑inspired open‑source projects (Spark, Delta Lake, MLflow, Unity Catalog) across the developer community.

What we look for

• 12+ years in data engineering, data science, technical architecture, or a similar pre‑sales / consulting role.

• 8+ years hands‑on experience with Big Data and AI technologies, including Apache Spark™, data engineering, data science, and modern AI/ML workloads.

• Strong hands‑on architectural experience — able to whiteboard, design, and personally build end‑to‑end solutions, not just advise.

• Demonstrated experience working with large enterprise or Fortune 500 customers; experience supporting global accounts across multiple geographies strongly preferred.

• Experience working with digital‑native or SaaS enterprises with mature data and AI practices is a strong plus.

• Strong consulting / customer‑facing experience working with external clients across a variety of industries.

• Coding experience in Python, SQL, Scala, Java, or R.

• Experience building distributed data systems at enterprise scale.

• Hands‑on experience with at least one major public cloud (AWS, Azure, or GCP).

• Available to travel to customers in your region and occasionally internationally.

• Nice to have: prior experience working in or with a Global Capability Center model; the company Certification.

About the company

the company is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the the company Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, the company offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow the company on LinkedIn, X, YouTube, and Instagram.

Benefits

At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

ComplianceIf access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.