Senior IT-Administrator (m/w/d) mit ITSM-Know-How

FEQ427R199 The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.   The Lakebase product-line requires the following core technical competencies: * 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions. * Credibility in influencing OLTP products with the market insight needed to shape and prioritise roadmap capabilities. * Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems. * Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud) The impact you will have * Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory. * As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision. * Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership. * Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams * Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.  Competencies & Responsibilities * 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption. * Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams. * Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations to drive customer outcomes. * Proficient in programming, debugging, and problem-solving using SQL and Python. * Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP). * Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming. * Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. * A track record of driving complex projects to completion in fast-paced, customer-facing environments.   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.

Principal data engineers at Thoughtworks, are strategic leaders who spearhead data engineering initiatives, tackle complex business challenges and uncover transformative insights. They possess a deep understanding of a client's business ecosystem and partner with executives to align technology strategies with business objectives. By contextualizing emerging trends and Thoughtworks' exploration, they expand the impact of data engineering within the client organization. They draw upon their profound expertise in developing modern data architectures and infrastructure for the management of data applications. Effective collaboration is paramount, as data engineers adeptly convey their discoveries to both technical and non-technical stakeholders. They stay abreast of industry advancements, ensure data quality and security, and provide mentorship to junior team members. At Thoughtworks, data engineers leverage their deep technical knowledge to solve complex business problems, making a significant impact on client success. JOB RESPONSIBILITIES * You will collaborate with sales and pre-sales to clarify requirements and design viable solutions and drive pursuits with technical stakeholders. * You will establish a clear vision and direction for the data paradigm/practices, aligning it with the overall business strategy. * You will collaborate with executive level stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality. * You will consult on complex data platform programs, synchronizing cross-cutting architectural concerns and providing client-facing technical leadership and guidance as a data subject matter expert. * You will be responsible to create, design and develop intricate data processing pipelines, addressing clients' most challenging problems. * You will collaborate with data scientists to design scalable implementation and production of their models. * You will write clean and iterative code based on TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines. * You will design and implement the strategy around data governance, data security and data privacy to support business and compliance requirements. * You will represent Thoughtworks in various online and offline forums, including events and conferences. JOB QUALIFICATIONS TECHNICAL SKILLS * You must have extensive pre-sales experience and a proven ability to independently drive complex pursuits and create winning commercial proposals. * You have experience leading enterprise data strategy, system design, and the end-to-end implementation of large-scale technical solutions. * You are a native-level German speaker (C1) who is comfortable driving consensus and managing expectations with senior technical stakeholders. * You possess hands-on experience in system design using Domain-Driven Design principles for complex enterprise organizations with multiple domains. * Working with data excites you; you have designed Big Data architectures, built and operated data pipelines, and managed data storage within distributed systems. * You have a deep understanding of data modeling and practical experience with modern data engineering tools, platforms, and cloud warehousing solutions. * You are a "hands-on" leader—equally happy writing production-grade code as you are leading a team to implement a vision. * You have built and deployed large-scale data pipelines and data-centric applications using distributed storage and processing platforms in production environments. * You have experience designing and developing streaming solutions (Cloud or On-premise) leveraging leading technologies and industry best practices. * You have experience implementing data governance and security policies, complemented by a solid understanding of MLOps and data science concepts. PROFESSIONAL SKILLS * You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. * You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. * You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them. * You coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. * You enjoy influencing others and always advocate for technical excellence while being open to change when needed. * You are a proven leader with a track record of encouraging teammates in their professional development and relationships. * Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business. OTHER THINGS TO KNOW LEARNING & DEVELOPMENT There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. RESPONSIBLE USE OF AI IN RECRUITMENT At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions. Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers. We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment. ABOUT THOUGHTWORKS Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary. #LI-Onsite See here our AI policy.