Senior Data & AI Solutions Architect for Real-Time Platforms

Databricks Inc.; Ohio; On-site; USD 180,000 - 248,000; Full time

Benefits offered by this job

Databricks certifications

Job summary

Databricks is seeking a Solutions Architect who will own the end-to-end technical strategy for key accounts, guiding architecture discussions across data engineering, real-time analytics, and ML/AI deployments. You will act as a trusted advisor to customer technical leads and Directors, shaping platform adoption and solution delivery.

You will lead complex design reviews, collaborate with cross-functional teams, and contribute to shaping product direction based on customer feedback and

Qualifications

• 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
• Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills
• Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
• Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
• Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis
• Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
• Track record of driving platform adoption and consumption growth within accounts
• Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)

Responsibilities

• Own the end‑to‑end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
• Lead complex architecture discussions — designing scalable, production‑grade solutions spanning data engineering, ML/AI, and real‑time analytics
• Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
• Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom‑built solutions
• Develop and declare an emerging technical specialization (archetype) — becoming a go‑to resource for your team in that domain
• Orchestrate cross‑functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs
• Influence product direction by providing structured feedback on customer requirements and competitive gaps

Skills

Solutions architecture

Data engineering

Pre-sales

Python

SQL

Distributed data systems

Cloud platforms

Live coding

Education

Bachelor's or Master's in CS/Engineering

Tools

Databricks Platform

Job description

Databricks is seeking a Solutions Architect who will own the end-to-end technical strategy for key accounts, guiding architecture discussions across data engineering, real-time analytics, and ML/AI deployments. You will act as a trusted advisor to customer technical leads and Directors, shaping platform adoption and solution delivery.

You will lead complex design reviews, collaborate with cross-functional teams, and contribute to shaping product direction based on customer feedback and