Role Description Our Customer Integration team has taken every major retailer we've signed through production — and as we add more customers, we’re looking for a senior engineer to lead high-quality deployments, own onboarding and integrations end-to-end, and help define how this function grows. - Work with a real distributed AI system at scale — when a retailer's report is wrong, a pipeline is silently dropping events, task counts diverged somewhere between Kafka, Redis, MySQL, and MongoDB, you'll own the challenged end-to-end, not hand it off after one layer. - Bring new customers live — map their data formats to ours and validate pipelines held up at 10 stores before scaling up to 100 and then a 1000. - Manage live production configuration for dozens of active deployments — granular store configurations, feature flags and so on — where a single mistake can impact shelf monitoring across thousands of stores and be presented in a retailer's morning report. - Build tooling that removes the manual work — identify the patterns and build the systems that make the next deployment faster than the last one. - Work directly with customers when something goes wrong — explain what happened, own the fix, and close the loop. Qualifications - Ownership — When a customer has a problem, you don't wait for it to get assigned. You’ll pick it up, see it through end-to-end, and close the loop. - 4+ years of hybrid experience — You’ve written real production code and worked directly with external stakeholders. - Strong Python — Pandas and NumPy are second nature. You default to an API-first mindset. - Systems thinking — You can hold a complex distributed system in your head, decompose a messy customer problem into its parts, and come back with a solution. - Solid SQL and data work — Diagnostic queries, tracing data inconsistencies, building ETL and transformation pipelines. - Working knowledge of distributed systems — Kafka, async pipelines, caching layers. - Clear technical communication — You can explain a root cause to a non-technical customer or stakeholder without jargon. Requirements - Nice to Have: GCP, Kubernetes, or Helm experience (reading configs and logs, not managing infrastructure). Benefits - Competitive Salary & Attractive Stock - Paid Time Off - Team Retreats - Education grants

Role Description As a Databricks Resident Solutions Architect, you will serve as a trusted technical advisor and strategic partner to enterprise customers. You will guide organizations through their data and AI transformation journeys, helping them design, implement, and optimize modern data platforms built on Databricks. You will combine deep technical expertise with strong stakeholder management skills to ensure customers realize measurable value from their Databricks investments. Working alongside client teams, executives, engineers, and Ultra Tendency consultants, you will lead architecture decisions, promote best practices, and drive successful adoption of the Databricks Lakehouse Platform. This is a highly customer-facing role requiring both hands-on technical capability and executive-level communication skills. Key Responsibilities - Customer Advisory & Architecture - Act as the primary technical advisor for strategic Databricks customers. - Design and review scalable data, analytics, and AI architectures leveraging the Databricks Lakehouse Platform. - Lead architecture workshops, solution design sessions, and technical roadmap discussions. - Translate business requirements into technical solutions and implementation plans. - Advise customers on platform modernization, cloud migration, data governance, and AI initiatives. - Solution Delivery & Optimization - Support the successful implementation and adoption of Databricks solutions. - Review data engineering, analytics, machine learning, and GenAI workloads for scalability, performance, security, and cost optimization. - Identify and resolve technical blockers during customer engagements. - Drive architectural best practices for data pipelines, Lakehouse design, Unity Catalog, governance, and platform operations. - Technical Leadership - Serve as a subject matter expert on Databricks capabilities and emerging data & AI technologies. - Mentor customer teams and Ultra Tendency consultants on architecture patterns and best practices. - Deliver executive presentations, technical workshops, and enablement sessions. - Contribute to reusable assets, reference architectures, and practice development initiatives. - Business Development Support - Partner with sales and account teams during strategic customer engagements. - Support technical discovery, solution positioning, and proposal development. - Provide architecture guidance during pre-sales and proof-of-concept activities. - Identify opportunities for platform expansion and increased customer value. Qualifications - 7+ years of experience in data engineering, cloud architecture, analytics, or related fields. - 3+ years working with Databricks in enterprise environments. - Strong expertise in modern data platform architecture and cloud-native solutions. - Hands-on experience designing and implementing Lakehouse architectures. - Strong knowledge of: - Databricks Data Intelligence Platform - Apache Spark - Delta Lake - Unity Catalog - Data Governance & Security - Data Warehousing and Lakehouse Design - ETL/ELT Architectures - Data Modeling - Experience with at least one major cloud platform: - Microsoft Azure (preferred) - AWS - Google Cloud Platform - Proficiency in: - Python - SQL - Spark - Experience engaging with executive stakeholders and technical leadership teams. - Excellent communication and presentation skills in English & German. Preferred Qualifications - Databricks certifications such as: - Databricks Certified Data Engineer Professional - Databricks Certified Solutions Architect - Databricks Certified Machine Learning Professional - Experience with: - Generative AI and LLM solutions - MLflow - MLOps - Data Governance frameworks - Data Mesh architectures - Real-time and streaming data platforms - Experience in consulting or professional services environments. - Additional language skills in Spanish, or Portuguese are highly desirable. What Success Looks Like - Customers successfully adopt and scale Databricks solutions. - Complex technical challenges are resolved quickly and effectively. - Executive stakeholders view you as a trusted advisor. - Best practices are consistently applied across customer environments. - Customer satisfaction, platform utilization, and business outcomes improve measurably. Benefits - Work with leading enterprise customers across Europe. - Be part of a rapidly growing Data & AI consultancy. - Access to cutting-edge technologies in Data Engineering, Analytics, AI, and GenAI. - Opportunity to shape and expand Ultra Tendency's Databricks practice. - Continuous learning and certification support. - Flexible and remote-friendly working environment. - Competitive compensation package. - Collaborative, entrepreneurial, and international culture. Eligibility - Applicants must currently reside in Germany and possess the legal right to work in the country. - Unfortunately, we are unable to provide relocation assistance or visa sponsorship for this position.

• Present Snowflake technology and vision to executives and technical contributors at prospects and customers • Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation • Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them. • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

Role Description We’re now seeking a Staff Solutions Engineer (France) to support the growth of Firefox Enterprise across France. This is a highly customer-facing technical role focused on helping enterprises evaluate, validate, and deploy Firefox Enterprise in secure, complex, and regulated environments. The ideal candidate brings deep technical credibility, strong enterprise architecture experience, and a passion for helping customers solve real-world security, deployment, and interoperability challenges. - Partner with Sales to support strategic enterprise opportunities. - Lead technical discovery and solution design with customers and partners. - Run workshops with customer stakeholders across security, infrastructure, IAM, endpoint management, and workplace technology. - Own the relationship to the customer’s technical counterparts during and after the sales process. - Help customers evaluate Firefox Enterprise in areas such as deployment, policy management, identity integration, logging, security controls, and operational fit. - Design and support pilots, proofs of concept, and rollout plans. - Advise customers on deployment models, architecture decisions, and integration approaches for enterprise environments. - Validate interoperability across systems such as SSO, MFA, SIEM, proxy/network controls, endpoint tooling, certificates/PKI, and browser policy frameworks. - Identify and help resolve technical risks early, including application compatibility, certificate handling, deployment complexity, and policy enforcement requirements. - Create reusable technical assets such as reference architectures, deployment guidance, validation plans, and technical enablement materials. - Support and enable partners involved in deployment, integration, and customer success. - Champion Mozilla’s values of openness, trust, and user agency in every customer interaction. Qualifications - Significant experience (7+ years) in a Staff Solutions Engineer, Sales Engineer, Solutions Architect, Security Architect, or Technical Account Manager role. - Ideally deep knowledge of the French IT landscape, particularly within the public sector, financial services, or OIVs (Critical Infrastructure) operators. - Strong background in enterprise security, endpoint management, browser security, Zero Trust, IAM, or digital workplace infrastructure. - Hands-on knowledge of: - Windows enterprise deployment - GPO / MDM / policy management - certificates / PKI / TLS / proxies - SSO / MFA / IdP integrations - SIEM / DLP / CASB ecosystems - Kubernetes / Helm for customer-operated environments - Experience supporting pilots, technical evaluations, or enterprise deployments in complex customer environments. - Ability to translate complex regulatory requirements into technical configurations and sales evidence. - Ability to communicate clearly with both technical teams and senior stakeholders. - Comfort working across ambiguity and helping customers move from evaluation to deployment with confidence. - Must be willing and able to travel within France as needed for the role, with a preference for candidates located in the Paris metro area. - Must be willing and able to occasionally accommodate collaboration and meetings aligned with U.S. business hours. - Strong written and verbal communication skills in English. - Native-level fluency in French. Benefits - A highly competitive base salary, plus a high-impact, performance-driven sales bonus plan. - Rich medical, dental, and vision coverage. - Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute). - Quarterly all-company wellness days where everyone takes a pause together. - Country specific holidays plus a day off for your birthday. - One-time home office stipend. - Annual professional development budget. - Quarterly well-being stipend. - Considerable paid parental leave. - Employee referral bonus program. - Other benefits (life/AD&D, disability, EAP, etc. - varies by country).