Manager, Delivery Solutions Architects – Emerging Enterprise

🔥 0 minutes ago

🏄 California, Colorado, +7 more states – Remote

🏄 California – Remote ⛰️ Colorado – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🌲 Oregon – Remote 🍂 Massachusetts – Remote 🔔 Pennsylvania – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $197.1k - $271k / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

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Databricks

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.

📋 Description

• Build and Lead a High-Performing Team: Hire, coach, and grow DSAs capable of guiding EE customers to production success across a wide range of Data, AI, and ML workloads. • Accelerate Path to Production: Inspire your team to minimize friction, remove blockers, streamline onboarding, and enable customers to get high-impact workloads into production faster. • Maintain Technical Excellence: Ensure you and your team stays ahead of the curve with advanced knowledge of Databricks and the broader Data and AI ecosystem, continuously learning and achieving certifications. • Collaborate for Customer Growth: Partner closely with Sales, Solutions Architects, Support, Product Engineering, and Professional Services to build integrated customer plans that accelerate adoption and deliver tangible ROI. • Champion Operational Rigor: Establish mechanisms for tracking, forecasting, and communicating workload progress, usage growth, and customer health. • Be a Thought Leader and Sponsor: Serve as the technical sponsor for select EE accounts, engaging tech leads and executives to shape customer success strategy at scale. • Contribute to the DSA Practice: Drive initiatives that enhance consistency, scalability, and innovation across the DSA organization.

🎯 Requirements

• 7+ years of experience in customer-facing technical roles (Architecture, Field Engineering, or similar roles with a focus on Data and AI), including 3+ years leading technical teams. • Experienced in cloud-based Lakehouse architectures, specifically in guiding customers through migrations and modernization, leveraging cloud-native architectural principles. • Proven track record in accelerating workloads to production and enabling sustained success on cloud-native platforms. • Deep understanding of and ability to guide complex architectural discussions related to distributed data systems and cloud-native platforms. • Hands-on experience in SQL, an Object-Oriented Programming Language (preference for Python, SQL, or Scala), code reviews, and architecture design sessions. • Expertise in Data and AI domains, such as Analytics, Data Warehousing, ETL, Streaming, and/or ML/AI productionization. • Experience with hyperscaler platforms (AWS, Azure, or GCP) is a strong plus. • Ability to manage escalations, forecast usage growth, and operationalize customer success programs. • Strong communication and executive presence; trusted advisor to technical leaders and C-level stakeholders. • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). • Willingness to travel up to 30% as needed.

🏖️ Benefits

• Eligibility for annual performance bonus • Equity • Comprehensive benefits and perks that meet the needs of all employees