Databricks

• Lead the execution of small initiatives while contributing to larger initiatives with moderate to high level of direction from leadership. • Respond to and resolve Tier 1 inquiries, handling system and process issues that require detailed investigation and troubleshooting. • Assist in improving, administering, and testing updates to our ATS and recruiting tech stack under guidance from senior team members. • Contribute to process improvement efforts by collaborating with cross-functional teams on defined tasks. • Help with TA onboarding, offboarding, training, University Recruiting initiatives and enablement for talent systems to ensure smooth transitions. • Support ongoing programmatic efforts through coordination, reporting, and execution of assigned tasks. • Create and reconcile reports from multiple data sources to provide valuable insights for stakeholders. • Conduct regular audits to ensure data quality and promote system accuracy.

Title: Solutions Architect: Data & AI - Public Sector Location: Delhi, India Job Description: FEQ427R303 As a Solutions Architect, you will be the technical cornerstone of the sales process, driving hands-on evaluations and serving as a strategic advisor to both our customers and internal teams. You will bridge the gap between business vision and technical execution, helping organizations solve their most complex challenges in big data, analytics, and data science. By acting as a technical advocate in the field, you will directly influence the product roadmap while helping customers achieve tangible, data-driven outcomes through the Databricks Lakehouse Platform. In this high-impact role, you will report to the Field Engineering Manager and collaborate with our most strategic prospects to integrate our platform into their enterprise ecosystems. You will navigate the competitive landscape with authority, applying best practices to develop technical champions within customer organizations. Beyond immediate technical delivery, you will grow as a leader in the cloud space, architecting sophisticated solutions that define the future of Data Engineering and AI for the world’s most innovative companies. This is a Hybrid role, based in Delhi. The impact you will have: - You will be a Big Data Analytics expert on aspects of architecture and design - Lead your clients through evaluating and adopting Databricks including hands-on Apache Spark™ programming and integration with the wider cloud ecosystem - Support your customers by authoring reference architectures, how-tos, and demo applications - Integrate Databricks with 3rd-party applications to support customer architectures - Engage with the technical community by leading workshops, seminars and meet-ups - Together with your Account Executive, you will form successful relationships with clients throughout your assigned territory to provide technical and business value What we look for: - Strong consulting / customer facing / Pre-sales experience, working with external clients across a variety of industry markets - Core strength in either data engineering or data science technologies - 8+ years of experience demonstrating technical concepts, including demos, presenting and white-boarding - 8+ years of experience designing architectures within a public cloud (AWS, Azure or GCP) - 6+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others - Coding experience in Python, R, Java, Apache Spark™ or Scala 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.

• Engage with Solutions Architects to understand use case demand plans for prioritized customers • Lead post-technical win account strategy and execution plan • Act as accountable technical leader for specific use cases and customers • Address technical issues related to production/go-live status • Leverage internal resources and escalate to experts as needed • Create and execute strategies for accelerating key use cases into production • Collaborate with Databricks Product and Engineering teams • Develop execution plans covering customer-facing technical roles and activities • Provide KPI reporting on usage and customer health

• 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

• Shape the future of the big data landscape by collaborating with customers, product teams, and the broader customer-facing team • Develop architectures and solutions using the Databricks platform and APIs • Guide customers through competitive landscape, best practices, and implementation • Provide technical leadership to help customers understand how Databricks can solve their business problems • Consult on Big Data architectures and validate integrations with cloud services, home grown tools, and other 3rd party applications • Collaborate with fellow Solutions Architects to support each other and users • Become an expert in and promote Databricks inspired open-source projects (Spark, Delta Lake, and MLflow)

• Advise and partner with managers and directors in our Engineering organization • Full-cycle recruiting from source to close for technical intern and new grad candidates • Partner with UR Team to assist with team matching and allocation • Plan & host university recruiting events • Manage high volume while maintaining excellent candidate experience and data integrity

• You will work on a variety of impactful customer technical Big Data projects which may include building reference architectures, how-to's and production grade MVPs • 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 strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. • 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.

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems • Own production rollouts of consumer and internally facing GenAI applications • Serve as a trusted technical advisor to customers across a variety of domains • Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally • Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap

• Partner with the sales team to help customers understand how Databricks can help solve their business problems • Provide technical leadership for customers to evaluate and adopt Databricks • Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications • Build and present references architectures, how-tos, and demo applications for customers • Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars • Travel to customers in your region

Role Description The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in the Media industry are leveraging the Databricks Data Intelligence Platform to accelerate their data-driven strategies. The Communications, Media, Entertainment and Gaming Field Engineering team (CMEG) is hiring a dynamic Solution Architecture (SA) leader who intimately understands the Media ecosystem and how a modern data architecture is critical to advancing their Data & AI initiatives. Additionally, this SA leader will inspire the FLMs and the entire team of Solution Architects by translating the team's vision into a tangible, effective strategy to drive our customers’ data and AI experiences forward. The Director of Solutions Architecture will lead a team of SA Leaders across five business lines: Strat Media, Core Media, Agencies, Ad Tech, and Sports. Reporting to the Tech GM of CMEG, you will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, and data science. Leading the technical split-focused team (pre-sales, technical acumen, demonstrations), you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that operates efficiently to accelerate Databricks' market growth. The Impact You Will Have - Lead a team of 5 FLMs with a total indirect org size of ~60. - Your team will hire, train, grow, and manage a team of Solutions Architects for a company in high-growth mode. - Make your customers in the Media segment successful with Databricks and provide outsized value to their businesses. - You will maintain a robust hiring pipeline at all times. - Establish relationships across the business to make your customers and team successful. - Partner with sales leadership to hit sales and consumption targets and ensure customer success. - Keep your team of SA Leaders and SAs ahead of the technical curve. - An SA adds value by maintaining advanced knowledge of the technology stack, while tying it back to key initiatives and trends across the Media industry. - You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs. Qualifications - 10+ years of professional experience in the data space with a technical product (i.e. data warehousing, big data, or machine learning). - 5+ years of professional experience in the field, architecting and delivering data-driven solutions for major accounts within the Media industry. - Deep familiarity with the buy-side and supply-side ecosystem. - Very strong understanding of the ad tech and martech industries. - Extensive experience in creating network effects between publishers, ad spenders, and agencies. - Understanding of leagues, teams, and data providers within the sports industry. - Demonstrated expertise with data collaboration ecosystem (e.g. customer data platforms, clean rooms, data marketplaces). - Proven thought leader on key industry imperatives for Media. - 5+ years of experience building and leading technical pre-sales teams - hiring, onboarding, and enabling pre(and post)-sales professionals and leaders. - A deep technical understanding of the impact that Data & AI can drive within the Media and Entertainment industry. - Extensive experience in building out repeatable industry assets and scaling those across a BU+2 and globally to other teams within Databricks. - Trusted advisor to technical executives who guide strategic data infrastructure decisions. - Experience hiring leader and IC candidates, ramping them up to be successful, and promoting them into larger roles. - Build team morale and foster working relationships among Field Engineering, Sales, and other key internal partners. - Experience working with teams across Sales, Product Management, Engineering, and Customer Success. - Must be technical enough to earn the trust of Engineering talent and leadership at Databricks. - Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers toward ideal solutions that scale. Benefits - Comprehensive benefits and perks that meet the needs of all employees. Company Description 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.