Specialist Solutions Architect–Cloud Infrastructure Management

Databricks; Boston (MA); Remote; USD 129,000 - 198,000; Full time

Job summary

A leading company is seeking a Specialist Solutions Architect for Cloud Infrastructure Management in Boston. The role requires building and maintaining cloud infrastructure across multiple platforms, aiding sales with technical expertise, and developing automation tools to enhance productivity. Ideal candidates will have significant experience in public cloud platforms and automation tools like Terraform.

Benefits

Comprehensive benefits

Annual performance bonus eligibility

Equity opportunities

Flexible work environment

Qualifications

• 5+ years of experience in a technical role.
• Experience with AWS, Azure, or GCP infrastructures.
• Deep expertise in security and complex deployments.

Responsibilities

• Build and maintain internal cloud infrastructure for demos.
• Assist Solutions Architects with custom proofs of concept.
• Develop internal applications for infrastructure management.

Skills

Cloud Platforms & Architecture

Infrastructure Automation

Security

Networking

Identity Management

Education

Bachelor’s degree in Computer Science or equivalent

Tools

Terraform

Python

SQL

Job description

Specialist Solutions Architect–Cloud Infrastructure Management

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Specialist Solutions Architect–Cloud Infrastructure Management

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Join to apply for the Specialist Solutions Architect–Cloud Infrastructure Management role at Databricks

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At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

As a Specialist Solutions Architect (SSA) – Cloud Infrastructure Management, you will be responsible for building and managing internal cloud infrastructure resources and environments that align with our security and budget requirements. These resources will be used by our Go-To-Market teams, including Solutions Architects and Account Executives. You will collaborate with and support Solutions Architects, who deliver technical demos and proofs of concept for our Data and AI products to support successful sales outcomes. This role requires hands-on experience with public cloud platforms—AWS, Azure, and GCP. You will also develop and implement technical tools that improve cost and time efficiency. As a key member of our Field Engineering Center of Excellence, you will contribute to enhancing the overall productivity of the team.

The Impact You Will Have

• Build and maintain internal cloud infrastructure for demos, training, proofs of concept, and more—across Azure, AWS, and GCP.
• Abstract complexity of internal infrastructure management through building internal applications and automation.
• Architect production-level deployments, ensuring alignment with security and networking requirements.
• Become a technical expert in areas such as cloud platforms, automation, security, networking, or identity management.
• Assist Solutions Architects with advanced aspects of the technical sales process, including custom proofs of concept and tailored architectures.
• Partner with Scale teams and Technical Enablement to develop internal documentation and drive overall productivity.
• Oversee cloud spend for the Field Engineering organization across Azure, AWS, and GCP. This includes participating in monthly cloud cost review meetings, monitoring infrastructure usage to align with team growth, and addressing capacity or performance issues.
• Design and implement automation to optimize and reduce cloud expenditures.
  
  

What We Look For

• 5+ years of experience in a technical role with expertise in at least one of the following areas:
• Cloud Platforms & Architecture: Cloud-native architecture in CSPs such as AWS, Azure, and GCP; serverless architecture
• Platform Administration: High availability and disaster recovery, cluster management, observability, logging, monitoring, auditing, cost management
• Infrastructure Automation and InfraOps using Infrastructure-as-Code (IaC) tools such as Terraform, building internal web application in full stack with Next.js, TypeScript, and Python
• Security: Platform security, network security, data security, GenAI & model security, encryption, vulnerability management, compliance
• Networking: Architecture design, implementation, and performance
• Identity Management: Provisioning, SCIM, OAuth, SAML, federation
• Experience maintaining and evolving complex Databricks environments
• Deep specialty expertise in at least one of the following:
• Security: Securing data platforms and managing identities
• Complex deployments
• Public cloud: Designing data platforms on AWS, Azure, or GCP, using best practices in cloud security and networking
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent professional experience
• Hands-on experience with Python; proficiency in SQL; experience with Terraform is desirable
• Hands-on experience building web applications that abstract cloud deployments is a strong plus
• 2+ years of professional experience with big data technologies (e.g., Spark, Hadoop, Kafka) and related architectures
  
  

Location and travel:

This role is remote; however, preference will be given to candidates located in the designated job listing area. The position requires up to 30% travel.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range

$129,100—$197,900 USD

Zone 2 Pay Range

$129,100—$197,900 USD

Zone 3 Pay Range

$129,100—$197,900 USD

Zone 4 Pay Range

$129,100—$197,900 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, 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, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, 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 Databricks 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.

Compliance

If 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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