Databricks Jobs in Philadelphia.
All active Databricks roles based in Philadelphia.
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Delivery Solutions Architect - U.S. Federal Sector
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CSQ426R15
PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.
This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization.
The impact you will have:
- Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
- Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
- Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
- Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
- Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
- Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
- Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
- Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
- Main use cases moving from ‘win’ to production
- Enablement/user growth plan
- Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
- Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
- Executive and operational governance
- Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM
What we look for:
- U.S. citizenship
- 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
- Programming experience in Python, SQL or Scala
- Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
- Understanding of solution architecture related to distributed data systems
- Understanding of how to attribute business value and outcomes to specific project deliverables
- Technical program, or project management, including account, stakeholder and resource management accountability
- Experience in resolving complex and important escalations with senior customer executives
- Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
- Track record of overachievement against quota, Goals or similar objective targets
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
- Can travel up to 30% when needed
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates utilizing 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.
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 click here.
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.
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VP, Technology Operations
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How you will help
HealthVerity is seeking a seasoned and strategic leader to guide our Technology Operations teams in delivering scalable, secure, and cost-effective technology services across the company. Reporting to the CTO, you will define and execute an operations strategy that empowers our engineers with a modern cloud platform, gives our employees the corporate IT tools and access they need to do their best work, and brings disciplined financial governance to how we invest in technology. You will be the owner for the reliability, productivity, and cost of HealthVerity’s technology operations, with command over key vendors such as AWS, Databricks, and other cloud, data, and IT services.
What you will do
- Lead Technology Operations Strategy: Set and execute a unified operations vision spanning cloud infrastructure and platform, corporate IT and end-user computing, and FinOps, aligned with organizational goals and financial efficiency. Translate strategy into measurable outcomes — reliability SLAs, IT service levels, and cost-efficiency targets — and report on them to executive leadership.
- Budget Ownership and FinOps: Command vendor budgets, including AWS, Databricks, and other cloud and IT vendors, ensuring resource allocations are cost-effective and aligned with usage and performance requirements. Stand up and lead a formal FinOps practice that brings rigor and transparency to technology spend, including unit economics, forecast accuracy, commitment-based discount strategy, tagging hygiene, and showback/chargeback. Establish processes to measure, monitor, and report progress on cost-saving initiatives.
- Empower Engineering Teams: Develop and implement platform services to improve developer productivity, such as Infrastructure as a Service, CI/CD pipelines, observability, and self-service tooling, enabling engineering teams to operate more autonomously and efficiently.
- Run Corporate IT and End-User Computing: Own the employee technology experience end-to-end: device fleet, identity and access management, SaaS administration, helpdesk, and onboarding/offboarding. Establish service-level commitments for IT support and mature ticketing, escalation, and self-service so employees get unblocked quickly. Partner with Security and Compliance to ensure corporate IT controls satisfy regulatory commitments without slowing employees down.
- Team Leadership and Development: Hire, mentor, and develop a high-performing, multi-discipline organization across cloud platform, corporate IT, and FinOps, fostering a culture of innovation, reliability, and proactive problem-solving. Conduct regular 1:1s, support career development, and champion team needs with executive leadership.
- Vendor and Technology Evaluation: Assess, select, and manage partnerships with key cloud, data platform, and IT vendors to ensure HealthVerity leverages cutting-edge tools and services at optimized costs. Continually evaluate and integrate emerging technologies and platforms to improve the operations landscape.
- Reliability and Scalability Enhancement: Oversee strategies to increase system reliability, resilience, and scalability, implementing best practices in cloud architecture, observability, and performance monitoring to reduce incidents and improve SLAs. Lead disaster-recovery and business-continuity planning, including regular testing and executive-level reporting on readiness.
Required skill & experience
- 5+ years of experience in technology operations leadership, including direct ownership of large-scale AWS environments and the budgets that fund them.
- 5+ years of experience leading and managing hybrid or distributed teams across more than one operational discipline (e.g., cloud platform plus IT, FinOps, or SRE).
- Demonstrated experience in vendor management and budget optimization, particularly with AWS, Databricks, and related cloud, data, and IT providers, with measurable cost-savings outcomes.
- Experience running or formally partnering with a corporate IT / end-user computing function, including identity, SaaS, device management, and helpdesk.
- Familiarity with compliance and security standards like FedRAMP, ensuring that solutions meet necessary regulatory requirements.
- Proven track record in incident management and executing disaster recovery and business-continuity planning.
- Excellent executive communication — able to translate operational reality into business outcomes for the CEO and COO.
Base salary for the role is commensurate with experience and can range between $225,000 - 275,000 + annual bonus opportunity.
Hiring Locations
Our main office is located in Center City, Philadelphia, where we operate on a hybrid model with in-office work required three days a week for local employees. We believe collaboration is most effective when teams come together, which is why we prioritize hiring in the Philadelphia area.
For certain roles, we also hire from hub locations—regions where we have an established presence with multiple team members working remotely. While these employees primarily work from home, we bring them together in person at least once a year for team-building, collaboration, and strategic planning.
Due to tax and labor regulations, we can only hire from specific states. Remote work is supported in the following key hub locations and approved states:
Hub Locations:
- Philadelphia, Pennsylvania
- Boston, Massachusetts
- New York City, New York
- Baltimore, Maryland
- Washington, D.C.
- Charlotte, North Carolina
- Raleigh-Durham, North Carolina
- Atlanta, Georgia
- Chicago, Illinois
Approved States for Remote Work:
CT, DE, FL, GA, IL, IN, MA, MD, MI, NC, NJ, NY, OH, PA, TN, and VA.
About HealthVerity
HealthVerity is the leader in privacy-protected real-world data exchange, transforming how healthcare and life sciences organizations connect and analyze disparate patient data. By enabling access to the industry’s largest RWD ecosystem, HealthVerity supports critical applications in clinical development, commercial strategy, regulatory decision-making, and public health. To learn more about HealthVerity, visit healthverity.com.
Why you'll love working here
We are making a difference – Our technology is at the forefront of some of the biggest healthcare challenges in the world.
We are one team – Our people define our culture and always will. We take time out to celebrate each other, and acknowledge the value that each of us adds towards our greater mission. Come share all you have to offer.
We are learners – Every team member is continually learning, no matter if we've been in a role for one year or much longer. We are committed to learning and implementing what is best for our clients, partners, and each other.
Benefits & Perks
Our benefits package is thoughtfully designed to support and enrich the experience of our full-time employees, with eligibility limited to those in permanent positions.
- Compensation: competitive base salary & annual bonus opportunity (for non-commissioned roles)
- Benefits: We offer health, dental, and vision coverage starting on day 1. We also offer a 401(k) plan and an equity program, with new hire equity grants beginning at the Director level and above.
- Flexible location: Remote workdays and 3 days a week of in-office collaboration for team members in the Philadelphia area. Check location requirements with the recruiting team.
- Generous PTO: Take time off as needed, targeted at 4 weeks per year, including vacation, personal and sick time, plus paid parental leave.
- Parental Leave: 12 weeks paid leave for childbearing, surrogacy, and adoption; 6 weeks for non-childbearing parents.
- Comprehensive and individualized onboarding: mentorship program, departmental talks, and a library of resources are available beginning day 1 for each new team member to minimize the stress of starting a new job
- Professional development: biweekly 1:1s, hands-on leadership that is goal-and growth-oriented for each team member, and an annual budget to support professional development pursuits
We believe incorporating different ideas, perspectives and backgrounds make us stronger and encourages an environment where ageism, racism, sexism, ableism, homophobia, transphobia or any other form of discrimination are not tolerated. All qualified job applicants will be given consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. At HealthVerity, we’re working towards an innovative and connected future for healthcare data and believe the future is better together. We can only do that if everyone has a seat at the table.
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to careers@healthverity.com
Remote opportunities are not available in all areas and require team members to work from a fixed location due to tax and labor law implications - specific questions about remote positions can be discussed during the interview process with your recruiter.
Ready to apply?
Apply to HealthVerity
Senior Solutions Engineer, Media
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How You Will Help
As a Senior Solutions Engineer, you’ll be pivotal in driving innovation and success by partnering with sales, product, and engineering teams to design tailored technical solutions for our customers, with a focus on supporting our media measurement and audience business. You'll facilitate decision-making and alignment across teams, removing barriers to close new business opportunities. By solving critical business needs, you'll ensure long-term customer success and inform our product roadmap and business strategy to meet evolving market demands efficiently.
What You Will Do
- Own the pre-sales development and documentation of SaaS configurations and technical solutions
- Build relationships with clients as their primary technical resource throughout the sales cycle
- Understand the customer’s business needs and use case to develop creative solutions that drive satisfaction and lead to long term engagements
- Support clients with internal decisions regarding their technology stack and configuration for the use of HealthVerity products
- Scope solutions to fit within a customer’s budget and timeline
- Inform strategic decisions on new product/feature development and commitment of internal resources
- Work with internal teams to determine level of effort and and feasibility of novel workflows and configurations
- Develop technical workflow diagrams
- Initiate process improvement initiatives to speed up the sales process and ensure seamless transitions to post-sale customer teams
- Support the media sales team by supporting existing customers utilizing HealthVerity Audiences and Media Measurement solutions, explain our methodology and solutions to prospective customers, and solution for new clients onboarding to either product offering
How success is defined
- High customer satisfaction: Consistently deliver solutions accurately and on time, scoring well internally
- Timely solution delivery: Meet or exceed turnaround times for clients and internal stakeholders
- Expertise in HealthVerity tools: Operate independently with solid knowledge of HealthVerity's tools and procedures
- Technical solution creation: conduct in-depth requirements analysis to fully assess client needs, design the solutions to meet those needs, and effectively convey HealthVerity's vision to the clients
- HeathVerity offering expertise: fully understand the client value of all HealthVerity’s technical and data offering
- Professional representation: Professionally showcase HealthVerity's solutions to clients and internal stakeholders, while taking the lead in opportunity management processes
- Collaborative team player: Actively contribute to teamwork and collaboration across HealthVerity, fostering a cohesive and supportive work environment
Required skills and experience
- 5+ experience in a technical pre-sales role (e.g. sales engineering, solutions architect), preferably in the SaaS B2B space or equivalent experience in product or data workflow design
- 3+ years work in a client facing role and project management experience in a complex technical environment
- 3+ years of experience using SaaS products in the workplace (e.g. Salesforce, JIRA, Confluence, and LucidChart or similar software)
- 1+ year of experience building AI-enabled internal and/or client-facing solutions using low code or no code tooling (LLM, workflow automation, agents)
- Strong written and verbal communication skills and experience collaborating across varying levels of stakeholders
Desired skills and experience
- Familiarity with the healthcare industry and data ecosystem; direct experience working with large healthcare datasets a plus.
- Familiarity with SQL, Python, Databricks, ETL processes, and AWS environments
- Knowledge and experience in a regulated industry (e.g. HIPAA)
- Knowledge and experience in digital & tv advertising, media audience targeting, and advertising campaign measurement
- Familiarity with media technology: media and website pixeling, activating programmatic campaigns via DSPs
Base salary for the role is commensurate with experience and can range between $120,000 - 140,000 + annual bonus opportunity.
Hiring Locations
Our main office is located in Center City, Philadelphia, where we operate on a hybrid model with in-office work required three days a week for local employees. We believe collaboration is most effective when teams come together, which is why we prioritize hiring in the Philadelphia area.
For certain roles, we also hire from hub locations—regions where we have an established presence with multiple team members working remotely. While these employees primarily work from home, we bring them together in person at least once a year for team-building, collaboration, and strategic planning.
Due to tax and labor regulations, we can only hire from specific states. Remote work is supported in the following key hub locations and approved states:
Hub Locations:
- Philadelphia, Pennsylvania
- Boston, Massachusetts
- New York City, New York
- Baltimore, Maryland
- Washington, D.C.
- Charlotte, North Carolina
- Raleigh-Durham, North Carolina
- Atlanta, Georgia
- Chicago, Illinois
Approved States for Remote Work:
CT, DE, FL, GA, IL, IN, MA, MD, MI, NC, NJ, NY, OH, PA, TN, and VA.
About HealthVerity
HealthVerity is the leader in privacy-protected real-world data exchange, transforming how healthcare and life sciences organizations connect and analyze disparate patient data. By enabling access to the industry’s largest RWD ecosystem, HealthVerity supports critical applications in clinical development, commercial strategy, regulatory decision-making, and public health. To learn more about HealthVerity, visit healthverity.com.
Why you'll love working here
We are making a difference – Our technology is at the forefront of some of the biggest healthcare challenges in the world.
We are one team – Our people define our culture and always will. We take time out to celebrate each other, and acknowledge the value that each of us adds towards our greater mission. Come share all you have to offer.
We are learners – Every team member is continually learning, no matter if we've been in a role for one year or much longer. We are committed to learning and implementing what is best for our clients, partners, and each other.
Benefits & Perks
Our benefits package is thoughtfully designed to support and enrich the experience of our full-time employees, with eligibility limited to those in permanent positions.
- Compensation: competitive base salary & annual bonus opportunity (for non-commissioned roles)
- Benefits: We offer health, dental, and vision coverage starting on day 1. We also offer a 401(k) plan and an equity program, with new hire equity grants beginning at the Director level and above.
- Flexible location: Remote workdays and 3 days a week of in-office collaboration for team members in the Philadelphia area. Check location requirements with the recruiting team.
- Generous PTO: Take time off as needed, targeted at 4 weeks per year, including vacation, personal and sick time, plus paid parental leave.
- Parental Leave: 12 weeks paid leave for childbearing, surrogacy, and adoption; 6 weeks for non-childbearing parents.
- Comprehensive and individualized onboarding: mentorship program, departmental talks, and a library of resources are available beginning day 1 for each new team member to minimize the stress of starting a new job
- Professional development: biweekly 1:1s, hands-on leadership that is goal-and growth-oriented for each team member, and an annual budget to support professional development pursuits
We believe incorporating different ideas, perspectives and backgrounds make us stronger and encourages an environment where ageism, racism, sexism, ableism, homophobia, transphobia or any other form of discrimination are not tolerated. All qualified job applicants will be given consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. At HealthVerity, we’re working towards an innovative and connected future for healthcare data and believe the future is better together. We can only do that if everyone has a seat at the table.
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to careers@healthverity.com
Remote opportunities are not available in all areas and require team members to work from a fixed location due to tax and labor law implications - specific questions about remote positions can be discussed during the interview process with your recruiter.
Ready to apply?
Apply to HealthVerity
AI Staff Engineer (SW Engineer IV+)
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How you will help
Accelerate customer and partner needs into clear, reliable, and scalable data and AI solutions, while strengthening HealthVerity’s engineering framework through real-world application and feedback.
As an AI Staff Engineer at HealthVerity, you will embed with customers and cross-functional teams to rapidly translate complex business problems into well-designed data flows, AI-enabled capabilities, and production-ready systems. You will help turn fragmented or bespoke customer requirements into smooth, repeatable data processes that align with our platform strategy.
Through hands-on delivery, you will also advance HealthVerity’s engineering and AI frameworks; validating patterns, surfacing gaps, and shaping standards that make it easier for teams to build, deploy, and operate intelligent data products at scale.
What you will do
- Lead technical discovery engagements with customers or internal partners to deeply understand business workflows, constraints, data realities, and success criteria.
- Rapidly prototype and iterate on pragmatic solutions; often using AI/ML, data pipelines, and backend services to validate value early and reduce delivery risk.
- Design and deliver production ready systems, including APIs, data pipelines, ML workflows, and cloud-native services, aligned with HealthVerity’s architecture and security standards.
- Own deployments and scaling efforts, troubleshooting complex issues across data, infrastructure, and application layers in real customer environments.
- Translate field learnings into leverage, feeding actionable insights back into product strategy, platform roadmap decisions, and reusable engineering patterns.
How success will be defined
- Successfully deliver multiple high-impact customer or partner engagements, translating ambiguous business needs into production-ready technical solutions.
- Drive adoption and demonstrated the value of HealthVerity platform capabilities within real customer environments.
- Build strong, trusted relationships with customers and internal stakeholders, reflected in consistently positive feedback on technical delivery and collaboration.
- Influence product and platform direction by bringing concrete, field-driven insights into roadmap, architecture, and prioritization discussions.
- Leave behind durable, maintainable solutions and reusable patterns that scale beyond individual engagements.
Required skills and experience
- 8+ years of software engineering experience, delivering production systems in Python, and/or JavaScript/TypeScript.
- Experience building data-intensive, distributed systems, including APIs, data pipelines, and cloud-native services (AWS or similar).
- Demonstrated experience owning and productionizing AI/ML solutions—taking them beyond experimentation into reliable, monitored workflows and systems
- Strong ability to operate in ambiguous, customer-driven problem spaces and make sound technical decisions.
- Clear communicator with the ability to work effectively across engineering, product, and customer teams.
Desired skills and experience
- Experience working in regulated or compliance-driven environments (e.g., healthcare, life sciences, financial services).
- Background in customer-facing or domain-embedded engineering roles (e.g., forward-deployed, solutions, or consulting).
- Familiarity with modern data platforms and analytical workloads (e.g., Databricks, Spark, Snowflake).
- Experience influencing product or platform direction through real-world delivery or field-driven insights.
Base salary for the role is commensurate with experience and can range between $170,000 - 220,000 + annual bonus opportunity.
Hiring Locations
Our main office is located in Center City, Philadelphia, where we operate on a hybrid model with in-office work required three days a week for local employees. We believe collaboration is most effective when teams come together, which is why we prioritize hiring in the Philadelphia area.
For certain roles, we also hire from hub locations—regions where we have an established presence with multiple team members working remotely. While these employees primarily work from home, we bring them together in person at least once a year for team-building, collaboration, and strategic planning.
Due to tax and labor regulations, we can only hire from specific states. Remote work is supported in the following key hub locations and approved states:
Hub Locations:
- Philadelphia, Pennsylvania
- Boston, Massachusetts
- New York City, New York
- Baltimore, Maryland
- Washington, D.C.
- Charlotte, North Carolina
- Raleigh-Durham, North Carolina
- Atlanta, Georgia
- Chicago, Illinois
Approved States for Remote Work:
CT, DE, FL, GA, IL, IN, MA, MD, MI, NC, NJ, NY, OH, PA, TN, and VA.
About HealthVerity
HealthVerity is the leader in privacy-protected real-world data exchange, transforming how healthcare and life sciences organizations connect and analyze disparate patient data. By enabling access to the industry’s largest RWD ecosystem, HealthVerity supports critical applications in clinical development, commercial strategy, regulatory decision-making, and public health. To learn more about HealthVerity, visit healthverity.com.
Why you'll love working here
We are making a difference – Our technology is at the forefront of some of the biggest healthcare challenges in the world.
We are one team – Our people define our culture and always will. We take time out to celebrate each other, and acknowledge the value that each of us adds towards our greater mission. Come share all you have to offer.
We are learners – Every team member is continually learning, no matter if we've been in a role for one year or much longer. We are committed to learning and implementing what is best for our clients, partners, and each other.
Benefits & Perks
Our benefits package is thoughtfully designed to support and enrich the experience of our full-time employees, with eligibility limited to those in permanent positions.
- Compensation: competitive base salary & annual bonus opportunity (for non-commissioned roles)
- Benefits: We offer health, dental, and vision coverage starting on day 1. We also offer a 401(k) plan and an equity program, with new hire equity grants beginning at the Director level and above.
- Flexible location: Remote workdays and 3 days a week of in-office collaboration for team members in the Philadelphia area. Check location requirements with the recruiting team.
- Generous PTO: Take time off as needed, targeted at 4 weeks per year, including vacation, personal and sick time, plus paid parental leave.
- Parental Leave: 12 weeks paid leave for childbearing, surrogacy, and adoption; 6 weeks for non-childbearing parents.
- Comprehensive and individualized onboarding: mentorship program, departmental talks, and a library of resources are available beginning day 1 for each new team member to minimize the stress of starting a new job
- Professional development: biweekly 1:1s, hands-on leadership that is goal-and growth-oriented for each team member, and an annual budget to support professional development pursuits
We believe incorporating different ideas, perspectives and backgrounds make us stronger and encourages an environment where ageism, racism, sexism, ableism, homophobia, transphobia or any other form of discrimination are not tolerated. All qualified job applicants will be given consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or on the basis of disability. At HealthVerity, we’re working towards an innovative and connected future for healthcare data and believe the future is better together. We can only do that if everyone has a seat at the table.
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to careers@healthverity.com
Remote opportunities are not available in all areas and require team members to work from a fixed location due to tax and labor law implications - specific questions about remote positions can be discussed during the interview process with your recruiter.
Ready to apply?
Apply to HealthVerity
Senior Customer Success Engineer, North
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Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
Delivering Customer Success is an important focus for Dataiku. As a Customer Success Engineer (CSE) within our Solutions Engineering team, you’ll help Dataiku’s customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI.
In this technical and consultative customer-facing role, you’ll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. You’ll leverage your understanding of enterprise analytics, high-impact communication abilities, and hands-on data science skills to add business value. This role will also partner closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services and Partners to accelerate end-user adoption.
How you’ll make an impact
- Work closely with Dataiku’s customers, focusing on onboarding, increasing user adoption, retention, and satisfaction.
- Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform.
- Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services.
- Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers.
- Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs, including hands-on support as appropriate.
- Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts.
- Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers.
- Document and share the adoption status and key information to inform internal forecasting and renewal.
- Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly.
- When identifying technical issues that block user adoption, coach administrators and users to initiate support tickets for timely resolution.
- Stay current on Dataiku’s products, competitive landscape, and data science trends.
- Willingness to travel up to 25%.
What you’ll need to be successful
- Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field.
- Minimum of four years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles with a proven track record of customer trust and satisfaction.
- Strong written and oral presentation skills, capable of engaging both business and technical stakeholders.
- Strong technical, analytical, and problem-solving skills.
- Experience in building and operating communities of practice.
- Ability to navigate ambiguity, build consensus, foster accountability, and work with urgency to deliver customer outcomes.
- Ability to tailor messaging to personas with varying levels of technical acumen, including no-code and high-code users
- Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required).
- Preferably located within the Northeast region of the United States.
What will make you stand out
- Never-ending intellectual curiosity, detail-oriented, and analytical.
- Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL
- Knack for public speaking with appreciation for engaging with all levels of customer teams, from individual contributors to leadership.
- Passion for technology, the data and analytics space, and enjoyment learning new solutions, features, and functionalities, translating these into business value for customers.
- Experience in Analytics/AI or other enterprise software (preferred but not required).
The final compensation package for this role will be determined during the interview process and is based on a variety of factors, including, but not limited to, geographic location, internal equity, education, skill set, experience and training. Eligible roles may also be entitled to receive commission or other variable compensation through Dataiku's incentive compensation program.
Dataiku also offers comprehensive benefits, including stock options, medical, dental, and vision plans, flexible spending accounts, pre-tax commuter benefits, a 401k company match, paid vacations and sick leave, paid parental leave, employer paid disability coverage, and additional health and wellbeing perks and benefits. Dataiku reserves the right to amend or modify employee perks and benefits at any time.
What are you waiting for!
At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.Ready to apply?
Apply to Dataiku Misc Postings
Named Enterprise Account Executive - Retail/CPG
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SLSQ227R758
As a Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 1000 accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating value to Customers and System Integrators.
Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join our manufacturing vertical and maximize the phenomenal market opportunity that exists for Databricks.
Reporting to our Director of Enterprise Sales, you will manage 3 large enterprise Consumer Packaged Goods (CPG) clients within our Retail Vertical. You will come with an informed point of view on Big Data, Advanced Analytics and AI which will help to guide your successful execution strategy and allow you to provide genuine value to the client.
The impact you will have:
- Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
- Drive value-based growth within the account.
- Expand the Databricks footprint into new business units and use cases.
- Exceed activity, pipeline, and revenue targets.
- Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce.
- Use a solution-based approach to selling and creating value for customers.
- Promote Databricks' Data Intelligence Platform powered by Apache Spark™ and Delta Lake
- Prioritize opportunities and leverage appropriate resources.
- Build a plan for success internally at Databricks and externally with your account
What we look for:
- You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight
- Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion
- Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts
- The ability to simplify a technical capability into a value-based benefit
- 7+ years of Enterprise Sales experience exceeding quotas in larger accounts
- Managing a small set of enterprise accounts rather than a broad territory
- Bachelor's Degree
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipated utilizing 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.
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 click here.
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.
Ready to apply?
Apply to Databricks
Resident Solutions Architect - Public Sector
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CSQ227R88
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.
As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.
The impact you will have:
- You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
- Work with engagement managers to scope variety of professional services work with input from the customer
- Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
- Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
- Provide an escalated level of support for customer operational issues.
- You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
What we look for:
- 6+ years experience in data engineering, data platforms & analytics
- Comfortable writing code in either Python or Scala
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
- Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps
- Design and deployment of performant end-to-end data architectures
- Experience with technical project delivery - managing scope and timelines.
- Documentation and white-boarding skills.
- Experience working with clients and managing conflicts.
- Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
- Travel to customers 20% of the time
- Databricks Certification
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipated utilizing 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.
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 click here.
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.
Ready to apply?
Apply to Databricks
Resident Solutions Architect - Healthcare & Life Sciences
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CSQ127R310
Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.
As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.
The impact you will have:
- You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
- Work with engagement managers to scope variety of professional services work with input from the customer
- Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
- Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
- Provide an escalated level of support for customer operational issues.
- You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
What we look for:
- 6+ years experience in data engineering, data platforms & analytics
- Comfortable writing code in either Python or Scala
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
- Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps
- Design and deployment of performant end-to-end data architectures
- Experience with technical project delivery - managing scope and timelines.
- Documentation and white-boarding skills.
- Experience working with clients and managing conflicts.
- Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
- Travel to customers 20% of the time
- Databricks Certification
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipated utilizing 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.
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 click here.
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.
Ready to apply?
Apply to Databricks
Resident Solutions Architect - Manufacturing
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CSQ127R319
As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.
The impact you will have:
- Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
- Work with engagement managers to scope variety of professional services work with input from the customer
- Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
- Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
- Provide an escalated level of support for customer operational issues
- Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues
What we look for:
- 6+ years experience in data engineering, data platforms & analytics
- Comfortable writing code in either Python or Scala
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
- Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps
- Design and deployment of performant end-to-end data architectures
- Experience with technical project delivery - managing scope and timelines
- Documentation and white-boarding skills
- Experience working with clients and managing conflicts
- Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
- Ability to travel up to 30% when needed
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipated utilizing 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.
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 click here.
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.
Ready to apply?
Apply to Databricks
Resident Solutions Architect - Communications, Media, Entertainment & Games
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CSQ127R318
As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.
The impact you will have:
- You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
- Work with engagement managers to scope variety of professional services work with input from the customer
- Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
- Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
- Provide an escalated level of support for customer operational issues.
- You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
What we look for:
- 6+ years experience in data engineering, data platforms & analytics
- Comfortable writing code in either Python or Scala
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
- Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps
- Design and deployment of performant end-to-end data architectures
- Experience with technical project delivery - managing scope and timelines.
- Documentation and white-boarding skills.
- Experience working with clients and managing conflicts.
- Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
- Travel to customers 20% of the time
- Databricks Certification
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipated utilizing 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.
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 click here.
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.
Ready to apply?
Apply to Databricks
Resident Solutions Architect - Financial Services
Share this job
CSQ227R87
Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.
As a Senior Big Data Solutions Architect (Sr Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.
The impact you will have:
- You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
- Work with engagement managers to scope variety of professional services work with input from the customer
- Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
- Consult on architecture and design; bootstrap hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
- Provide an escalated level of support for customer operational issues.
- You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
What we look for:
- 9+ years experience in data engineering, data platforms & analytics
- Comfortable writing code in either Python or Scala
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
- Deep experience with distributed computing with Apache Spark™ and knowledge of Apache Spark™ runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps
- Capable of design and deployment of highly performant end-to-end data architectures
- Experience with technical project delivery - managing scope and timelines.
- Documentation and white-boarding skills.
- Experience working with clients and managing conflicts.
- Experience in building scalable streaming and batch solutions using cloud-native components
- Travel to customers up to 20% of the time
- Nice to have: Databricks Certification
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipated utilizing 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.
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 click here.
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.
Ready to apply?
Apply to Databricks