Company Doctors Without Borders/Médecins Sans Frontières (MSF) is an international humanitarian organization that delivers impartial medical care to people affected by conflict, epidemics, disasters, or exclusion from health care in over 70 countries. We welcome candidates who bring a wide variety of backgrounds and experiences to join us in working toward MSF’s common mission. Department The Systems Department in the U.S. office of Doctors Without Borders/ Médecins Sans Frontières (MSF) acts like the organization's central nervous system, providing the vital information infrastructure to ensure the smooth functioning of all its operations. The Systems Department is responsible for building, configuring and maintaining the technical architecture, both physical and virtual, which ensures MSF can achieve the ambitions of its mission. Project MSF-USA is seeking an experienced Data Architect to work closely with our software and application design and implementation teams to recommend database structures based on the data storage and retrieval needs within each department and business unit. The Data Architect will be responsible for helping the organization with everything from developing a strategy for enterprise information management and developing reporting systems to monitoring our database environments and devising routines for continuously improving the data structures and quality. The successful candidate will also provide analysis and recommendations to the Systems Department leadership and project management team for improving the overall quality of data and its usability. The Data Architect will develop a viable roadmap to ensure a successful data management strategy with the enterprise, including but not limited to CRM, Digital Marketing, HR and Financial Systems. The Data Architect may also be called upon to provide expertise and support to the fundraising department on data analysis and fulfilling data requests, working closely with the Senior Data Analyst in the fundraising department. Essential Functions and Responsibilities Development of Enterprise Data Architecture (75%): Provide insight into the changing database storage and utilization requirements for MSF-USA and offer suggestions for solutions, working with Systems Department Business Analysts as a liaison with departmental users to ensure changing requirements are appropriate and well-understood by all stakeholders Define and maintain a comprehensive Entity Relationship Model across departments and business units; model and design the applications data structure, storage, and integration Create data monitoring models for each product within the enterprise roadmap and update models as necessary, especially as they are affected by new releases Develop database design and architecture documentation across departments Help maintain the integrity and security of the organization’s databases; work with the Information Security Manager to establish privilege-based access to sensitive data across the enterprise Work with the users, vendor solution architects/designers and business analysts to define the data requirements and structure for the applications Work with the integration solution architects and designers to design the integration solutions Assist in determining the cross-application data standards, data distribution standards and tuning strategies Review the database deliverables throughout development to ensure quality and traceability to requirements and adherence to all quality management plans and standards Ensure that the developers and database administrators responsible for developing the database thoroughly understand the requirements and designs Consider the data backup and replication requirements as part of the Business Continuity Plan for each enterprise application Ensure security in reporting and data storage Senior Data Analyst Support (25%): Work on report developments, data cleansing and/or de-duplication processes Support Senior Data Analyst in increased automation of ETL routines for routine marketing campaign data requirements Support ad hoc data requests and challenges for marketing campaign fulfillment and other data requests from the fundraising teams Extent of Public Contact The Data Architect will have frequent contact with people outside the organization including vendors, consultants, volunteers, donor advisory boards and members of the public. Qualifications Required Bachelor’s degree in computer engineering or related field (master’s degree preferred) 5-7 years of experience with information technology programs and services, with demonstrated expertise in enterprise data management and related technologies. 5-7 years of data architect experience. Experience with data modeling tools and data repository technologies (e.g., data warehouses, data-marts, etc.) Knowledge of Agile development methodology and concepts. Understanding of information systems and data life-cycle management best practices and methodologies, formal systems engineering life cycle (SELC), and systems development life cycle (SDLC). Experience with web services, enterprise data management, master data management, information security, applications development, and cloud-based architectures. Experience with enterprise data management technologies, including database platforms, ETL tools, and SQL. Solid technical background with understanding and/or hands-on experience with CRM, Marketing, HR and/or Financial systems. Solid organizational skills including attention to detail and multi-tasking skills Preferred Experience with implementation, administration and use of SalesForce CRM/Marketing Cloud and NetSuite ERP strongly preferred Familiarity with non-profit fundraising technologies and principles Strong commitment to MSF mission and humanitarian principles Additional Information Starting salary High 80s to low 90s (commensurate with experience). Type HQ Pay Class Full Time Exempt  Contract Type Open ended Contract Desired Hiring Date April 1st, 2019 Working Time % 100,00 How to Apply To apply, click the "Apply Now" button on this page to send letter of interest/cover letter and resume.   ATTN: “ Data Architect ” position. Submissions without cover letter will not be reviewed. No phone calls please.  Application Deadline: March 1, 2019, 11:59 pm EST.    

At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses. Uniting each endeavor is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. The Enterprise Technology organization drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. This role is part of the Enterprise Business Systems (EBS) organization. Our mission is to provide business technology solutions for the enterprise that empower growth, and enhance value across brands, geographies and organizations. The Data Solutions & Architecture group is part of the Enterprise Technology organization. We are responsible for architecting, developing and managing the data platforms, data integrations and reporting and analytics solutions for The Walt Disney Company’s enterprise business data. We are experts at architecting and building highly scalable data and analytics solutions that meet the business requirements of the groups across the company we support. As part of our team, you will be working with a full range of data technologies and architectures including big data platforms, enterprise data warehouses, pub/sub data messaging, master data management, AI/ML predictive analytics, Robotics Process Automation, and multiple reporting and analytics frameworks and tools. You will be working in a complex, challenging, fast-paced and rewarding environment, with other like-minded peers who are solutions and results oriented, and who enjoy collaboration. Besides being experts in their respective fields, our architects and developers are smart, curious, innovative, solutions-oriented, respectful, highly collaborative and continuous learners. The Principal Data Solutions Architect is one of the key architect roles in the organization. This is a strong technology leadership role, responsible for the Solutions Architecture of major data and analytics solutions for enterprise business data across TWDC. This architect role will be an integral part of a specialized community of architects specializing in different aspects of data technology, and in that community the Data Solutions Architect will be required to have the widest domain breadth with the ability to design end-to-end, full-stack solutions that span data stages and technologies and are focused on meeting business requirements. Responsibilities : Architecting and delivering high-performing, highly-scalable and flexible, cost-effective, cloud-based enterprise business data solutions that meet business requirements and conform to the organization’s data architecture roadmaps and strategies Translating business requirements into conceptual and detailed technology solutions Collaborates closely with partners across the organization including other architects, engineering managers, product managers, and business partners Responsible for data security and compliance Designing and documenting data architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams) Providing active “hands-on” architectural guidance and leadership through the entire lifecycle of development projects Performing third-party vendor assessments Developing and leading proof-of-concepts projects Keeping fluent in the industry and marketplace evolution--staying current with vendor product offerings and common and emerging data solutions in use across the industry; continuously learning new data technologies and introducing these into the organization Cross-training peers and mentoring teammates Basic Qualifications : 10 years plus experience architecting and delivering end-to-end enterprise data solutions Experience with enterprise business data domains and use cases, especially Finance and HCM Wide experience across all areas of data architecture and data technologies, including: data integration, data design and modeling, data sharing and messaging, data lifecycle management, data governance, data mastering, big data platforms, enterprise data warehouses, BI & analytics, data science, AI/ML and predictive analytics Experience in data security and compliance Experience in Solutions Architecture methodology and practices Experience translating business requirements into conceptual and detailed technology solutions Proven track record of execution--driving results and meeting commitments. Experience with enterprise business data domains and use cases, especially Finance and HCM Wide experience across all areas of data architecture and data technologies, including: data integration, data design and modeling, data sharing and messaging, data lifecycle management, data governance, data mastering, big data platforms, enterprise data warehouses, BI & analytics, data science, AI/ML and predictive analytics Experience in data security and compliance Experience in Solutions Architecture methodology and practices Experience translating business requirements into conceptual and detailed technology solutions Proven track record of execution--driving results and meeting commitments. Expertise architecting and delivering end-to-end data solutions Proficiency in all areas of data architecture and data technologies, including: data integration, data design and modeling, data sharing and messaging, data lifecycle management, data governance, data mastering, big data platforms, enterprise data warehouses, BI & analytics, data science, AI/ML and predictive analytics Proficiency in data security and compliance Proficiency in Solutions Architecture methodology and practices Ability to translate business requirements into conceptual and detailed technology solutions Current with new technologies and vendor solutions available in the marketplace Fluency architecting and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams) Ability to perform third-party vendor assessments Ability to develop and lead proof-of-concepts Focused on delivering practical, working solutions (no ivory tower solutions) Strong collaboration skills and ability to establish and manage effective working relationships in a matrixed organizational structure Strong leadership skills Ability to “influence without authority” Strong consensus-building ability and negotiating skills Strong communication and executive presentation skills, both oral and written. Ability to communicate well to both technical and business audiences Thinks strategically Innovative thinking and embraces innovation by constantly seeking new or contrary ideas and approaches to what has been done in the past. Thinks big and broad, without being constrained by existing norms or business models. Results oriented, biased toward action Keeps fluent in new technologies and successful sharing with peers and introducing new technologies Chooses optimism and calls out cynicism and unproductive behavior Demonstrates stamina, resilience and perseverance under trying circumstances Required Education : BS Computer Science or related technology field Preferred Education : MS Computer Science or related technology field