- Experienced in design and implementation with Big Data Solutions and distributed applications
- Experience in data warehouse or database architecture
- Experience with startup or startup like working environment
- Working knowledge of software development tools and methodologies
- Excellent communication and presentation skills with a high degree of comfort in speaking with senior executives at large companies
- Bachelor's degree in Computer Science or equivalent; Masters preferred
- Demonstrate high learning agility
Who You'll Work With
We are looking for Big Data Architects to serve large global companies in building secure, scalable Big Data architectures. S/he will be responsible for designing mission critical digital solutions on various platforms including analytics and big data solutions. S/he will also play key role in counseling clients and, knowledge and practice development.
What You'll Do
McKinsey's Digital Labs (MDL) combines unparalleled business knowledge with a world-class Agile development process to offer distinctive support for enterprise IT enablement. Our highly-skilled system architects and development managers configure software packages and build custom applications, creating the foundation for rapid and cost-effective implementation of systems that maximize value from day one.
Despite being part of a large, multinational organization, MDL works more like a small startup company. Our development teams are small, flexible and employ Agile methodologies to quickly provide our consultants with the solutions they need. We combine the latest open source technologies together with traditional Enterprise software products.
Our office culture is casual, fun and social, with an emphasis on education and innovation. We have the freedom to try new ideas, experiment and are expected to be constantly learning and growing. There is also a strong emphasis on mentoring others in the group, enabling them to grow and learn.
We are looking for Big Data Architects to serve large global companies in building secure, scalable cloud architectures. S/he will be responsible for designing mission critical digital solutions on cloud including analytics and big data solutions. S/he will also play key role in counseling clients and, knowledge and practice development.
S/he will also be responsible for designing McKinsey's Big Data platform. The ideal candidate will be an entrepreneur who enjoys architecture and security challenges, and has terrific client service mindset.
Role and Responsibilities:
Design Big Data architectures to build and scale digital solutions including statistical data analyses, data mining, BI, Data warehouse and optimization
Help clients construct Big Data solutions providing strategic direction, designing and driving architecture and implementation plan
Strongly preferred experienced in Open source technologies (Hadoop, hbase, CouchDB, hive, Pig, etc.)
Experienced with data modeling, design patterns, building highly scalable and secured solutions
Practice DevOps and agile principles
Technology thought leader with McKinsey and Client teams
Be a Big Data evangelist. Educate McKinsey and Client teams on Big Data Architecture
Lead technical design workshop to co-create solution and architecture with client
Participate actively in external/internal meetups e.g., speak at conferences, author book
Demonstrate enthusiasm, influence and innovation
Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions
Tolerance in dealing with bad quality data
Distinct customer focus and quality mindset
Ability to work at an abstract level and gain consensus
Ability to see from and sell to multiple viewpoints
Excellent interpersonal, leadership and communication skills
Ability to work both independently and in various team settings
Ability to work under pressure with a solid sense for setting priorities
Ability to manage own learning and contribute to domain knowledge building
Open to up to 50% travel when needed
8+ years software/technology client-facing experience
Experience with Big Data migrations or IT transformations
Experience architecting/operating solutions build on MS Azure, IBM Cloud, Salesforce, etc.
Architecture and security certification
Meet Some of McKinsey's Employees
Danielle is one of the leaders of McKinsey’s business with retail and consumer clients. She oversees client projects and helps her teams and her clients utilize McKinsey’s resources.
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