# Solutions Architect - Real Money Gaming

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Remote
**Role:** Solutions Architecture
**Experience:** 6+ years
**Skills:** Python, SQL, Databricks, Data Engineering, Machine Learning, artificial intelligence, real-time analytics, streaming architectures, lakehouse, AWS, microsoft azure, GCP, Snowflake, azure synapse
**Posted:** 2026-08-05

> Leads customer technical strategy and designs production-grade data, AI, and real-time analytics solutions on Databricks. Requires 6+ years of relevant experience, strong Python and SQL skills, cloud deployment expertise, and the ability to advise senior technical stakeholders.

## Job Description

## Responsibilities
- Own the end-to-end technical strategy for 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 through custom-built solutions.
- Develop and declare an emerging technical specialization, becoming a go-to resource for the team in that domain.
- Orchestrate cross-functional resources, including DSAs, SSAs, and partners, to deliver comprehensive solutions.
- Influence product direction by providing structured feedback on customer requirements and competitive gaps.

## Requirements
- 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
- Strong coding proficiency in Python and SQL, including live coding, debugging, and solution building.
- Deep expertise in distributed data systems architecture, including scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
- Proficiency with the Databricks Platform or the ability to achieve proficiency rapidly, with a developing specialization in areas such as real-time/streaming, ML/AI, data governance, or migrations.
- Experience leading architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis.
- Experience with production deployments on public cloud, including infrastructure, security, and governance considerations.
- Track record of driving platform adoption and consumption growth within accounts.
- Excellent communication skills, with the ability to translate complex architectures into business value for technical and executive audiences.
- Ability to travel to customers 30% of the time.
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.

## Nice to Have
- Databricks certifications in data engineering, ML, or platform technologies.
- Experience with Snowflake, AWS native services, or Azure Synapse.
- Background in a data/AI company or cloud provider.
- Industry domain expertise in financial services, healthcare, retail, media, or related fields.

## Interview Process
- Recruiter screen
- Hiring manager screen
- Design and architecture interview
- Live coding assessment
- Build, demo, and pitch presentation
- Reference check

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**Canonical:** https://hotfix.jobs/jobs/9f851f70-63ac-43d9-b777-92d97dc517f3