Senior Enterprise Architect
Medidata’s Data Platform is a critical cornerstone of Medidata’s future goals. Medidata seeks to extract value and information from data assets in clinical trials, research, and the commercial world to drive better health outcomes for patients everywhere. The Medidata Data Platform spans data acquisition technologies, storage, batch, streaming, machine learning, analytics, and reporting workflows to power the delivery of new, democratized platforms of data intensive applications and services to improve business operations, deliver personalized health experiences, and drive predictive insights. Medidata is seeking an Enterprise Architect for the Medidata Data Platform to lead the ongoing transformation and delivery of data platform capabilities for improved patient outcomes.
This position will be expected to provide strategic leadership and technical guidance to enhance Medidata’s ability to deliver cloud-based, enterprise SaaS solutions and data intensive products that optimize outcomes in life sciences. The Enterprise Architect for the Data Platform will bring an engineering and architectural mindset, a systems thinker’s insight, and proven collaboration skills to enable diverse teams to build data intensive solutions that are highly scalable, flexible, composable, and unique to Medidata’s evolving data needs.
The ideal candidate will have proven leadership and cross functional technology management experience and have previously built robust, scalable platforms that allow for teams to rapidly innovate. The candidate is responsible for ensuring that business value is realized in the systems we build and as such will display a great degree of business acumen and be capable of explaining product-related technology initiatives in clearly understood business terms. In order to enable the intellectual control of complex systems the candidate must be able to communicate, evangelize, and lead a diverse team of architects and engineers as they design, model, document, analyze, plan, and build sustainable enterprise solutions. Working with a team of Enterprise Architects the candidate will also own the technical direction, standards, design principles, and governance of the Medidata Platform. Additionally, he/she should be well versed in the following areas: cloud infrastructure (AWS preferably), web infrastructure, architecture design, internal tools, machine learning, application support and warehouse operations.
Unify and lead diverse teams to deliver on a long-term strategic vision for data-driven business capabilities. Develop a prioritized multi-year architectural roadmap to create new data intensive solutions.
Define and implement policies, processes and procedures for the governance and management of data, including data capture, storage, data architecture, security, integration, business intelligence and analytics.
Design and build the data platform and service layers for data access, reporting, analytics and data science leveraging reusable, scalable, composable architectures to enable ongoing data transformation efforts.
Collaborate with key stakeholders such as Product, Enterprise Architecture, Platform Services, Information Security and Data Science to ensure alignment with enterprise direction
Drive cloud based solutions for Enterprise data management, reporting and analytics platforms
Evaluate, recommend, and implement cloud technologies for data management, data acquisition, ETL, storage, reporting and analytics.
Continually improve and enhance Medidata’s data platform capabilities to deliver exceptional experiences to customers.
Lead the definition and application of enterprise design principles, architectural standards, governance, and design.
More than ten years of experience with advanced data/analytics leadership roles. Leadership of teams focused on architecting, building and supporting high-performance, highly-available and scalable data platforms and products
Experience in clinical trials and life sciences industries.
Familiarity with clinical data standards including BRIDG and CDISC.
Experience leading and architecting enterprise wide initiatives, specifically system integration, data warehouse build, data mart build, data lakes, etc. for a large enterprise
Experience defining and implementing an enterprise information strategy that leverages emerging, open source technologies, and commercial technologies to meet business objectives
Proven track record of being results oriented with demonstrated ability to achieve aggressive goals
Experience working in a highly matrixed, cross functional organization
A Bachelor's degree in Computer Science or a related field. Advanced degree preferred
Experience in the life sciences industry or knowledge of clinical trials
Experience delivering enterprise SaaS solutions on-premise or in the cloud
Practical experience implementing a data lake ecosystem at scale leveraging open source technologies like Hadoop, HDFS, HBase, Cassandra, Spark, Kafka, etc
Experience implementing a real time streaming capability
Experience deploying machine learning technologies and techniques at scale.
Good understanding of cloud architecture, specifically AWS, as it relates to data processing (i.e., EC2, S3, Redshift, etc.)
Experience with implementing data reporting and visualization tools (i.e. Business Objects, MicroStrategy, D3, Highcharts, etc)
Passionate, organized, smart, engaging, driven and technically savvy
Able to establish mutual respect and a collaborative working relationship with their peers and team
Must be able to implement strong process in the engineering organization, specifically around enterprise architecture, design, technology selection, design principles, and engineering
Ability to set a very high bar and stretch goals, clearly communicate those goals and then infuse and inspire the team with a sense of purpose and urgency in attainment of those goals
Flexible, able to adjust and change direction as the business environment and technology universe evolves and changes
Excellent interpersonal and communication skills with all kinds of people at all levels inside and outside the organization.
Ability to work through conflict, gain trust and persuasively influence outcomes
Ability to address tactical issues in the short-term while maintaining strategic vision for the long-term
Technically experienced and able to lead the architecture of the platform, as well as garner the respect of the team and the technology community
Must excel working in team-oriented roles that rely on ability to collaborate with others
Self-directed, curious, and comfortable working in dynamic environments
Medidata is making a real difference in the lives of patients everywhere by accelerating critical drug and medical device development, enabling life-saving drugs and medical devices to get to market faster. Our products sit at the convergence of the Technology and Life Sciences industries, one of most exciting areas for global innovation. Nine of the top 10 best-selling drugs in 2017 were developed on the Medidata platform.
Medidata’s solutions have powered over 14,000 clinical trials giving us the largest collection of clinical trial data in the world. With this asset, we pioneer innovative, advanced applications and intelligent data analytics, bringing an unmatched level of quality and efficiency to clinical trials enabling treatments to reach waiting patients sooner.
Medidata Solutions, Inc. is an Equal Opportunity Employer. Medidata Solutions provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by the law. Medidata Solutions complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.