Infrastructure & Platform Senior Specialist Solutions Engineer
Databricks3 hours ago
Responsibilities
- Guide enterprise customers through the full lifecycle of Databricks deployments, including architecture, administration, and production deployment.
- Architect secure and scalable cloud environments involving networking, private connectivity, identity, and compliance.
- Provide technical expertise in cloud infrastructure, infrastructure-as-code, cloud networking, and identity management.
- Build custom solutions to support competitive customer engagements and demonstrate Databricks differentiation.
- Collaborate with DSAs, SAs, FDEs, partners, and senior architects on complex customer solutions.
- Influence product direction through structured feedback on customer requirements and competitive gaps.
- Use Python and PySpark/Spark for live coding, debugging, and solution building.
- Contribute to customer-facing content, workshops, community engagement, and Field Engineering thought leadership.
- Drive platform adoption and consumption growth within customer accounts.
Requirements
- 4+ years of experience in solutions architecture, technical pre-sales, or a senior hands-on technical role.
- Strong expertise in cloud security, identity, encryption, vulnerability management, compliance, cloud IAM, enterprise identity services, and federation standards.
- Experience with enterprise cloud networking, VPC/VNet design and peering, dedicated interconnects, private connectivity, routing, performance optimization, and large-scale deployments.
- Knowledge of high availability, disaster recovery, cluster orchestration, observability, auditing, and cloud cost management.
- Hands-on infrastructure automation experience with Terraform and cloud-native IaC tools.
- Strong coding proficiency in Python and PySpark/Spark, including live coding, debugging, and solution development.
- Grounding in distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
- Proficiency with the Databricks Platform or the ability to become proficient rapidly, with developing specialization in an area such as streaming, ML/AI, governance, or migrations.
- Ability to participate in architecture discussions, whiteboarding, design reviews, and trade-off analysis with senior stakeholders.
- Excellent communication skills and ability to translate complex architectures into business value for technical and executive audiences.
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.
- Preferred qualifications include Databricks certifications, professional-level cloud certifications, and experience with Snowflake, cloud-native data services, Azure Synapse, or BigQuery.
- Willingness to travel up to 30% as needed.
Benefits
- Databricks offers comprehensive benefits and perks, with region-specific details provided during the hiring process.
- The role includes travel of up to 30% as needed.
Tech Stack
Categories
Solutions Engineering
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).