Merkle is looking for an experienced Senior Cloud Data Engineer to be part of our Analytics practice. You will be working on industry leading Cloud Platforms to design, develop, and implement next generation Marketing solutions leveraging Cloud native and Commercial/Open Source Big Data technologies.
Key Responsibilities :
As a Senior Cloud Data Engineer, you will :
Be the force behind shaping the future of our Cloud Engineering practice within Analytics by leading innovation efforts and developing Intellectual Property
Be client-facing, advising on optimized architectures for data management, helping develop roadmaps for on-premises to Cloud migration efforts
Be hands-on in developing prototypes and conducting Proof of Concepts
Act as a trusted advisor to clients on all things Data Engineering
Lead team members on projects involving data migration and implementation of new solutions on cloud platforms
Participate in crafting customer facing proposal responses
Participate in technical interactions with clients' executives and senior management
Mentor client/Merkle resources on Cloud Technologies
Evaluate and analyze new commercial/open-source services/technologies offered by public Cloud providers, and Big Data technology vendors
Interface with Cloud/Technology providers, Product Managers, and Engineers
Develop reference architectures and design pattern library for typical Cloud based Marketing solutions implementations
Advise on Cloud project set up, security and role-based access implementation, and network optimizations
Certified Google, Amazon, or Microsoft Cloud Data Engineer
5+ years of technical management and leadership role delivering success in complex data analytics environment, managing various stakeholder relationships to get consensus on solution
2+ years' experience in "migrating" on premise workloads to one or more industry leading public cloud(s)
Demonstrated experience of designing and building Big Data solutions on Public Cloud stacks
Technical architectural and development experience on Massively Parallel Processing technologies, such as Hadoop, Spark, Teradata, Netezza, Hadoop
Technical architectural experience on data modeling, designing data structures for business reporting
Deep understanding of Advanced Analytics such as predictive, prescriptive, etc.
Working knowledge of cloud components: Software design and development, Systems Operations / Management, Database architecture, Virtualization, IP Networking, Storage, IT Security
Technical process and passion, especially for public Cloud, modern Application design practices and principles. Certifications on Cloud Platform preferred.
Oversight experience on major transformation projects and successful transitions to operations support teams
Presentation skills with a high degree of comfort to both large and small audiences
Employees from diverse or underrepresented backgrounds encouraged to apply.
Dentsu (the "Company") is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee of the Company, on the basis of age, sex, sexual orientation, race, color, creed, religion, ethnicity, national origin, alienage or citizenship, disability, marital status, veteran or military status, genetic information, or any other legally-recognized protected basis under federal, state or local laws, regulations or ordinances. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and/or certain state or local laws. A reasonable accommodation is a change in the way things are normally done that will ensure an equal employment opportunity without imposing an undue hardship on the Company. Please contact [email protected] if you need assistance completing any forms or to otherwise participate in the application process or to request or discuss an accommodation in connection with a job at the Company to which you are applying.