Senior Data Engineer

Databricks

SLSQ327R364 Databricks is seeking a Lakebase Sales Specialist to help customers modernize their operational data foundation with Databricks Lakebase, our fully-managed Postgres offering for intelligent applications. This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity. THE IMPACT YOU WILL HAVE * Drive new Lakebase revenue by identifying, qualifying, and driving Lakebase activations and consumption within a defined territory, in partnership with regional Account Executives and the broader account team. * Lead with outcomes for key Lakebase personas — including platform teams and developers, data teams, and central IT — articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. * Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences. * Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders. * Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists. * Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references. * Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape. * Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs. * Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization. WHAT SUCCESS LOOKS LIKE IN THIS ROLE This role requires the ability to operate across two key motions simultaneously: * Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase. * Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts. Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business. Success in this role requires strength in four areas: 1. Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support. 2. Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes. 3. Field, account, & customer enablement: Align customers and the field on the value of Lakebase by equipping AEs and SAs with the messaging and execution motions needed to confidently own accounts without specialist intervention. 4. Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events. The interview process is designed to evaluate candidates across all four of these dimensions. WHAT WE LOOK FOR * Proven enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals. * Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. * Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies. * Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners). * Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities. * Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers. * Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. * Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. * Bachelor’s degree or equivalent practical experience. * Fluency in English and in Italian required. PREFERRED QUALIFICATIONS * Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts. * Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies. * Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications. * Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services. * Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives. * Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions. This description is intended to outline the core responsibilities and qualifications for the Lakebase Sales Specialist role. Actual responsibilities may evolve as the Lakebase product and go-to-market motions continue to grow and mature.     Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range 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. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits which can be accessed here. Italy Pay Range €194.000—€266.000 EUR 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.

Satispay

About us Satispay began by rethinking the simple act of a payment to remove the friction from our daily routines. But we didn’t stop there. Today, we are building a complete financial platform designed to empower people and concretely improve their lives. By giving our 6 million users a clear, open path to pay, save, and invest, we are evolving into the definitive destination for every financial need. What you'll be doing As a Data Analyst, you will be a core member of our Growth & Marketing (G&M) team, taking the data and analytics lead on all Finance initiatives. You’ll play a key role in enhancing decision-making by developing analytical models and self-service data assets that drive impactful solutions for financial planning, reporting, and operational steering. Here's what your day-to-day will look like: * Build Financial Analytics & Reporting Capabilities — Develop P&L and cash flow analytics, plan vs. actual monitoring models, and financial KPI frameworks that enable Finance to steer the business with accurate, timely data. * Lead Investor Relations Analytics — Serve as the primary analytics and intelligence partner for Satispay's investors including top-tier VC firms, translating business performance into clear, data-driven narratives that maintain and strengthen those relationships. * Partner with Key Stakeholders — Act as the primary data and analytics partner for Finance, while collaborating closely with Marketing, Operations, and Product. Bridge the gap between financial data complexity and business decisions, translating technical findings into clear, actionable recommendations at the executive level. * Build High-Impact Visualisation Tools — Define key financial metrics and develop dashboards and reports that communicate financial insights effectively, empowering self-service across Finance and senior leadership. * Drive Business Economics Analytics — Partner with Finance to develop analytical frameworks across monetisation, unit economics, LTV, payback period, cost structure, and revenue drivers, bridging product performance and financial outcomes to support strategic planning. * Enhance Analytics Through AI-Powered Workflows — Design and implement AI-assisted workflows to automate anomaly detection, surface budget deviations, and unlock efficiencies in the analytical processes supporting budgeting and re-forecasting. * Contribute to Our Data Layer Evolution — As part of the broader G&M Analytics team effort, contribute to the development of our data mesh layer by designing financial data models and pipelines that integrate into the company’s federated data strategy, ensuring scalable and governed data ownership. Who we're looking for We need a problem-solver with a strong analytical mindset who thrives in a collaborative environment. If you’re detail-oriented and ready to take ownership in a dynamic setting, you’ll fit right in! Does this sound like you? * Relevant Experience — 5+ years in data-related roles spanning Data Engineering, Data Analytics, and BI, with at least 3 years of hands-on experience in high-volume data environments. Experience working in or closely with Finance, FP&A or Controlling functions is a strong plus. * Financial Data Expertise — Hands-on experience in financial data modelling, with a solid understanding of P&L structures, cash flow analytics, and plan vs. actual monitoring. Familiarity with ERP data schemas (e.g. SAP) and the ability to model and transform financial data for analytical use is highly valued. * Technical Proficiency — Strong command of SQL, dbt, and Python. Experience with Git and notebook-based analytics (e.g. Hex, Databricks, Jupyter) is a plus. Knowledge of SAP Public Could is also a plus. * Data Modelling & ETL — Proven experience designing data models, building ETL pipelines, and managing data transformation layers at scale, ideally in environments with high-volume, high-frequency financial data. * AI Fluency — Comfortable using AI tools day-to-day for analytics, automation, and generating ad-hoc analyses, C-level summaries, marketing campaign suggestions, and business cases efficiently using AI agents. Basic to mid-level proficiency with Claude is a strong plus. Experience interacting with agents programmatically via APIs is a plus. * Analytical & Problem-Solving Skills — Comfortable with ambiguity, able to break down complex financial problems into focused workstreams and deliver evidence-based answers. Takes end-to-end ownership of analytical projects: from problem framing to stakeholder recommendations, monitoring business impact throughout. * Stakeholder Management & Communication — Able to independently lead initiatives across Finance and Marketing domains, efficiently translating technical findings into clear, actionable recommendations for senior stakeholders. * Unit Economics & Monetisation Knowledge — Familiarity with consumer lifecycle metrics (Acquisition, Activation, Retention, Monetisation) and user economics (ARPU, CAC, LTV, Payback Period) approached from a financial planning and user-value lens. Experience with Fintech-specific KPIs and sector dynamics is a strong plus. * Data Visualisation — Experience with Hex, Looker, or similar tools to build clear and insightful financial data representations. CareAbout: how we support your impact We move fast, and evolution never stops. It’s a fun ride, but it can be challenging. To make sure our people truly thrive, we’re committed to making their lives easier, both in the office and out in the world. That’s why we created CareAbout: * ❤️ Health (Private insurance for you and your family, psychological support with Serenis, mental health workshops) * 💰 Financial resources (Stock Option Plan, Meal vouchers, Relocation support if you’re moving countries) * ⚙️ Growth and development (Professional development programs, Internal mobility, Language courses with Preply) * 🌱 Flexibility (Unlimited PTO, Hybrid working policy*, Flexible working hours) * 👨‍👩‍👧 Family (Enhanced parental leave, Additional leave for child sickness) * We embrace three days per week in-office (Tuesday and Thursday + 1 of your choice), with the option to request extra remote time. Salary: €40,000.00 - €50,000.00 gross per annum This range is set using objective, gender-neutral criteria for the role's core requirements. However, we do not believe in putting a ceiling on talent. The final compensation package is tailored according to your unique experience and expertise. If your skills go beyond the standard profile, apply anyway so we can discuss a package that reflects your true value. Equal Opportunity Employer At Satispay, we're proud to be an equal opportunity employer. We celebrate diversity and inclusion, welcoming individuals of all backgrounds. This opportunity is open to everyone, regardless - for instance - of race, colour, religion, sex, gender identity, sexual orientation, and national origin. Join us in a workplace where everyone belongs! Learn more about us Our values and pillars aren’t just fancy words on a page - they really shape everything we do. Explore them here. #LI-HYBRID #LI-VR1 By submitting this application, I acknowledge that I have read and understood the content of the Privacy Policy

Satispay

📢 Championing Diversity: People with disabilities encouraged to apply (L.68/99) 🚀 We Welcome Everyone! This role is part of our commitment to fostering an inclusive workplace: this is why Satispay mainly dedicates this job opportunity to candidates eligible under specific employment protection laws, including those with disabilities or other protected status, in line with Italian law (L.68/99). We encourage candidates from all backgrounds to apply. Still willing to apply for the role? This specific application form is dedicated mainly to candidates with disabilities. However, we value diversity and talent in all its forms, and everyone is welcome to apply for a job at Satispay! If you’re interested in the role, but you’re not a candidate with disabilities, visit the following link and apply here. About us Satispay began by rethinking the simple act of a payment to remove the friction from our daily routines. But we didn’t stop there. Today, we are building a complete financial platform designed to empower people and concretely improve their lives. By giving our 6 million users a clear, open path to pay, save, and invest, we are evolving into the definitive destination for every financial need. What you'll be doing As a Data Analyst, you will be a core member of our Growth & Marketing (G&M) team, taking the data and analytics lead on all Finance initiatives. You’ll play a key role in enhancing decision-making by developing analytical models and self-service data assets that drive impactful solutions for financial planning, reporting, and operational steering. Here's what your day-to-day will look like: * Build Financial Analytics & Reporting Capabilities — Develop P&L and cash flow analytics, plan vs. actual monitoring models, and financial KPI frameworks that enable Finance to steer the business with accurate, timely data. * Lead Investor Relations Analytics — Serve as the primary analytics and intelligence partner for Satispay's investors including top-tier VC firms, translating business performance into clear, data-driven narratives that maintain and strengthen those relationships. * Partner with Key Stakeholders — Act as the primary data and analytics partner for Finance, while collaborating closely with Marketing, Operations, and Product. Bridge the gap between financial data complexity and business decisions, translating technical findings into clear, actionable recommendations at the executive level. * Build High-Impact Visualisation Tools — Define key financial metrics and develop dashboards and reports that communicate financial insights effectively, empowering self-service across Finance and senior leadership. * Drive Business Economics Analytics — Partner with Finance to develop analytical frameworks across monetisation, unit economics, LTV, payback period, cost structure, and revenue drivers, bridging product performance and financial outcomes to support strategic planning. * Enhance Analytics Through AI-Powered Workflows — Design and implement AI-assisted workflows to automate anomaly detection, surface budget deviations, and unlock efficiencies in the analytical processes supporting budgeting and re-forecasting. * Contribute to Our Data Layer Evolution — As part of the broader G&M Analytics team effort, contribute to the development of our data mesh layer by designing financial data models and pipelines that integrate into the company’s federated data strategy, ensuring scalable and governed data ownership. Who we're looking for We need a problem-solver with a strong analytical mindset who thrives in a collaborative environment. If you’re detail-oriented and ready to take ownership in a dynamic setting, you’ll fit right in! Does this sound like you? * Relevant Experience — 5+ years in data-related roles spanning Data Engineering, Data Analytics, and BI, with at least 3 years of hands-on experience in high-volume data environments. Experience working in or closely with Finance, FP&A or Controlling functions is a strong plus. * Financial Data Expertise — Hands-on experience in financial data modelling, with a solid understanding of P&L structures, cash flow analytics, and plan vs. actual monitoring. Familiarity with ERP data schemas (e.g. SAP) and the ability to model and transform financial data for analytical use is highly valued. * Technical Proficiency — Strong command of SQL, dbt, and Python. Experience with Git and notebook-based analytics (e.g. Hex, Databricks, Jupyter) is a plus. Knowledge of SAP Public Could is also a plus. * Data Modelling & ETL — Proven experience designing data models, building ETL pipelines, and managing data transformation layers at scale, ideally in environments with high-volume, high-frequency financial data. * AI Fluency — Comfortable using AI tools day-to-day for analytics, automation, and generating ad-hoc analyses, C-level summaries, marketing campaign suggestions, and business cases efficiently using AI agents. Basic to mid-level proficiency with Claude is a strong plus. Experience interacting with agents programmatically via APIs is a plus. * Analytical & Problem-Solving Skills — Comfortable with ambiguity, able to break down complex financial problems into focused workstreams and deliver evidence-based answers. Takes end-to-end ownership of analytical projects: from problem framing to stakeholder recommendations, monitoring business impact throughout. * Stakeholder Management & Communication — Able to independently lead initiatives across Finance and Marketing domains, efficiently translating technical findings into clear, actionable recommendations for senior stakeholders. * Unit Economics & Monetisation Knowledge — Familiarity with consumer lifecycle metrics (Acquisition, Activation, Retention, Monetisation) and user economics (ARPU, CAC, LTV, Payback Period) approached from a financial planning and user-value lens. Experience with Fintech-specific KPIs and sector dynamics is a strong plus. * Data Visualisation — Experience with Hex, Looker, or similar tools to build clear and insightful financial data representations. CareAbout: how we support your impact We move fast, and evolution never stops. It’s a fun ride, but it can be challenging. To make sure our people truly thrive, we’re committed to making their lives easier, both in the office and out in the world. That’s why we created CareAbout: * ❤️ Health (Private insurance for you and your family, psychological support with Serenis, mental health workshops) * 💰 Financial resources (Stock Option Plan, Meal vouchers, Relocation support if you’re moving countries) * ⚙️ Growth and development (Professional development programs, Internal mobility, Language courses with Preply) * 🌱 Flexibility (Unlimited PTO, Hybrid working policy*, Flexible working hours) * 👨‍👩‍👧 Family (Enhanced parental leave, Additional leave for child sickness) * We embrace three days per week in-office (Tuesday and Thursday + 1 of your choice), with the option to request extra remote time. Salary: €40,000.00 - €50,000.00 gross per annum This range is set using objective, gender-neutral criteria for the role's core requirements. However, we do not believe in putting a ceiling on talent. The final compensation package is tailored according to your unique experience and expertise. If your skills go beyond the standard profile, apply anyway so we can discuss a package that reflects your true value. Equal Opportunity Employer At Satispay, we're proud to be an equal opportunity employer. We celebrate diversity and inclusion, welcoming individuals of all backgrounds. This opportunity is open to everyone, regardless - for instance - of race, colour, religion, sex, gender identity, sexual orientation, and national origin. Join us in a workplace where everyone belongs! Learn more about us Our values and pillars aren’t just fancy words on a page - they really shape everything we do. Explore them here. #LI-HYBRID #LI-VR1 By submitting this application, I acknowledge that I have read and understood the content of the Privacy Policy