• Lead Databricks lakehouse execution across bronze, silver, and gold with a focus on maintainable Lakeflow-driven pipelines and high-quality curated outputs. • Own common data model implementation, conformed dimensions, fact design, and reusable gold datasets for reporting, forecasting, and AI/BI consumption. • Design and build scalable data models for SAP, manufacturing, finance, sales, supply chain, and operational domains. • Partner on source onboarding and ensure new data is shaped into governed medallion outputs that are usable for analytics and AI. • Implement data quality checks, reconciliation logic, documentation, and performance optimization across structured data assets. • Provide technical leadership for engineering backlog execution, code quality, testing discipline, and repeatable delivery standards in Databricks.

Location: Boston United States Job Description: Product Expert - Health Data Massachusetts - Boston Product Management & Alliances - Product Management & Alliances - NA / Full-Time / Remote apply for this job Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company - we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role As a Product Expert for Veeva Compass, you will be the primary relationship owner and support champion for a group of Compass Patient, Prescriber, and National customers. Sitting in this post-sales support role, you will be responsible for customer onboarding and training on the Compass UI, data ingest, data and core deliverables, fielding customer inquiries and data investigations, new release announcements and education, and ongoing customer value creation using the suite Compass products to maximize customer success. Additionally, you will bring the voice of the customer to influence the Compass product roadmap. Product Experts are a lead voice in our online communities, customer meetings, in-person events, and are responsible for creating resources for both internal and external teams to realize the value of the innovation within our products. This is a great opportunity for someone who is knowledgeable and passionate about data to support commercialization in life sciences and is excited about working closely with customers to help make them successful. What You'll Do - Independently lead customer engagements as a primary contact from "contracting" onward - Understand the customer, their strategic objectives, and challenges related to their day-to-day data operations/analytics workflows and the use of the Compass suite of products to ensure customer success - Keep all customer information including account details, interaction histories, meeting notes, action items, and account health data meticulously updated in Veeva Vault - Provide guidance to customers on best practices for Compass access and use - Act as the primary liaison between the customer and various Veeva teams (Account Partners, Business Consulting, Strategy, Product) to address customer needs and ensure a seamless experience - Communicate effectively about product release information and roadmaps, translating complex technical information into clear, understandable insights for diverse customer audiences. This includes delivering product updates, demonstrating new features, and articulating the value proposition of Compass - Collect, analyze, and share customer feedback and product gaps, and provide these insights as an input to Product for release planning and roadmap direction - Create various collateral for external use, including user guides, training presentations, feature brief summaries, etc. - Collaborate with the wider Product team to create and deliver product communication, such as feature education, demo recordings, and online and in-person community meetings Requirements - 6+ years of experience in a customer-facing role at a consulting company / health tech firm OR internal analytical role at a life sciences company - Prior experience with industry data products/partners, including IQVIA, Komodo (i.e., prescription and medical claims, payer data, sales/performance data sets) - Deep understanding of customer use cases in life sciences (e.g., patient data analytics, targeting & segmentation, field alerts, incentive compensation, etc.) - General understanding of the commercial data & analytics landscape, including data, infrastructure, tolling and operational processes - Ability to understand and communicate data/technical requirements, preferences, and limitations to both business and technical audiences - Ability to manage multi-layered relationships (from end-users to mid-level management) and facilitate discussions across different departments - Strong problem-solving skills and a proactive approach to identifying and addressing customer needs and challenges - Proven ability to drive customer adoption and value realization from data products - Strong analytical and communication skills; written, verbal, and formal presentation - Ability to travel occasionally to customer sites Nice to Have - Creating materials for technical and non-technical audiences - Experience with demo/video editing software and performing software demonstrations - Experience managing an online community Perks & Benefits - Medical, dental, vision, and basic life insurance - Flexible PTO and company paid holidays - Retirement programs - 1% charitable giving program Compensation - Base pay: $65,000 - $150,000 - The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus. #LI-Remote #LI-Associate Veeva's headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [email protected]. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. apply for this job

• Traduzir demandas de negócio em problemas e soluções de engenharia de dados. • Projetar, desenvolver e implementar pipelines de dados escaláveis e resilientes. • Construir e manter processos de ingestão, transformação e disponibilização de dados. • Garantir a qualidade, performance e governança das soluções implementadas. • Participar da definição de arquiteturas e padrões de engenharia de dados. • Atuar em conjunto com times multidisciplinares, apoiando iniciativas orientadas a dados. • Realizar troubleshooting e otimização de processos e ambientes de dados. • Ser referência técnica para o time, apoiando decisões arquiteturais e melhores práticas. • Mentorar profissionais de menor senioridade, promovendo evolução técnica da equipe. • Conduzir o desenho e a evolução de soluções de engenharia de dados alinhadas às necessidades do negócio.

Role Description This position is term limited with an anticipated end date of approximately two (2) years from the date of hire. This position is eligible for State employee benefits and may be extended as the situation warrants. We’re looking for a strategic and collaborative Data Architect to advise, develop and facilitate data architecture strategy including cloud, advanced technologies & platforms for OIT and partner agencies. In this role you will support efforts as an expert and leverage technology and innovation to provide scalable solutions to complex and diverse business problems. You will approve all relevant data architecture decisions and ensure alignment with agency needs, considering both the current and future needs of the agency. - Consulting as a resource on data strategy and architecture to OIT and agency partners. - Driving innovations, collaborations, and insights establishing a strong data-driven approach to decision-making across the organization. - Bringing best-in-class technologies, innovation, and creativity to the table in developing technical solutions to solve complex multi-dimensional problems. - Providing technology expertise by architecting, prototyping, researching, recommending, documenting, and assisting in implementing and evaluating technical solutions for business issues whether purchased or developed. - Assessing new data initiatives to determine compliance with the architecture, information security and data standards. - Interfacing with vendor technology/solutions throughout the entire project lifecycle. - Performing Data Management Maturity Assessments (DMMA). - Authoring artifacts including Conceptual, Logical & Physical Models, Data Flows, Data Dictionaries, Business Data Glossary, etc. - Supporting and guiding Data Engineers, Data Analysts, Data Scientists, and Data Visualization Designers in the execution of their duties. - Managing multi-agency schema integration, requiring the reconciliation of data definitions and structures across datasets from various agencies across the state. - Maintaining strong stakeholder management skills and collaborating with multiple agencies and vendors. - Working with large, complex datasets. Qualifications - A minimum of five (5) years of experience in data architecture (solution architecture), data management and information classification at the enterprise level. - Demonstrated experience designing solutions in modern data technology platforms including Cloud (Snowflake, Informatica, AWS, Azure, GCP) based solutions. - Experience in developing and operationalizing architectural and data designs, including data, technology and infrastructure. - Experience with identifying, monitoring, and rectifying data quality concerns using data governance tools. Requirements - Additional appropriate education will substitute for the required experience on a year-for-year basis. - Training or Certification related to the work assigned to the position will be assigned credit towards substitution for experience and/or education. - If the minimum qualifications include a degree requirement, additional appropriate paid or unpaid experience will substitute for the required education on a year-for-year basis. Benefits - This position may require travel within the specified geographic area, and to locations across the state as needed. - This position may require on-call duties as needed by the position.