Dun & Bradstreet unlocks the power of data through analytics creating a better tomorrow. Each day we are finding new ways to strengthen our awardwinning culture and accelerate creativity innovation and growth. Our 6000 global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb/careers.
The role:
As a leader for Cloud Engineering DevOps and SRE in the Global Data Platforms Engineering team you will join a team of brilliant friendly and energetic cloud/big data solutions architects data engineers data architect QA engineers and project managers who strive to deliver best of breed solutions to our customers.
Are you someone that can thrive in a high energy high growth fast paced environment Then you might be just who we are looking for.
Key Requirements
Should have at least 15 years of extensive experience in IT infrastructure Public/Private cloud DevOps SRE Application Solution architecture Big Data and building large scale enterprise grade platforms in public cloud.
Must have experience in architecting productionlevel workloads including endtoend pipeline load performance testing and optimization on the cloud based big data platforms.
Must have 6 years of handson experience in architecting largescale applications on AWS or Azure public cloud environments.
Must have hands on experience with clustering software like Kubernetes Spinnaker Ansible Mesos
Experience with continuous delivery and deployment pipelines
Experience working with OpenStack Linux/UNIX Rackspace Docker and AWS EKS
Should be willing to take up the role of DevOps SME who will advise various BU/IT teams on architectural design performance tuning cost efficiencies and operations related issues.
Will be responsible for developing overall DevOps strategy technical design and other technical documentation to support various IT initiatives.
Be a trusted advisor and internal SME who will help BU teams with review of architecture patterns and suggest cost effective models.
Must have experience in setting up security architectures including firewalls encryption masking KMS IAM MFA network (VPCs/VNETs) compliance (SOX/HIPPA/PII) data protection Infra automation BCP/DR SIEM audit controls CMP and other related items.
Work closely with application/operations teams to actively identify & resolve performance issues throughout public cloud landscape.
Design write and maintain software to improve the availability scalability latency and efficiency of applications incorporating third party opensource tools when available.
Own maintain and continuously improve all systems provided as a service such as monitoring and datastores
Experience with SOA Application Distributed Architecture and CloudBase Services
Knowledge and understanding in emerging technologies of cloud distributed computing and big data
Certification as an Azure Solutions Architect GCP Solution Architect Cloud Security Certification and/or OpenStack Administrator Certification a plus
Should have prior experience in developing work effort estimates project plans budget estimates and roadmaps.
End to end lifecycle implementation experience building large enterprise scale applications using AWS/Azure cloud services is highly desired.
Build a Cloud & Big Data team responsible for:
Supporting AWS cloud deployments related to Data & Analytics platform engineering team
Build roll out and operate new PaaS or IaaS services in AWS (ex: roll out Kafka as a Service Airflow EKS etc.
Support AWS infra related to Data Supply Chain Terraform/Salt
Install maintain support Enterprise tools (ex: Informatica StreamSets etc. on AWS
Be responsible for deploying new tools in AWS
Maintain enhance and support AWS EMR AWS Spark/Kafka clusters and related AWS PaaS components
Maintain enhance and support Databricks environments
Maintain enhance and support Snowflake
Maintain and manage reddis elastic search solr and other search engines
Collaborate with developers and operations teams to build and deploy custom solutions in AWS.
Team Management
Experience developing and managing a team of engineers
Experience working in a fastpaced resultsoriented environment
Experience of minimum of 5 years leading a global Cloud Engineering & DevOps support team
Experience of managing in a highly intensive and timesensitive geographically dispersed product support organization
Experience with complex system performance data analysis system troubleshooting and applied technical problemsolving skills to effectively manage operations.
Proven experience managing escalated accounts and driving incident problem and escalation management to successful resolutions
Proven ability to manage ambiguity and a preparedness to take on what is necessary to get things done
Proven work experience overseeing all aspects of the technical support management including staffing shift operations products technology etc.
Expertise in developing/enhancing the key support metrics to measure the effectiveness of the team members processes operations with the goal of achieving higher employee satisfaction and customer CSAT/NPS scores.
Experience in working productively with cross functional teams and creating/leading crossfunctional programs to bring about greater operational efficiency.
Interpersonal skills:
Good communication/presentation and influencing skills are a MUST as there is heavy interaction with various executive stakeholders.
Listening ability and patience
Critical thinking complex Problem Solve and Troubleshoot
Excellent interpersonal skills in areas such as teamwork facilitation and negotiation and
Able to work independently or as part of a team.
Ability to explain complex ideas to those with limited IT and systems knowledge
Demonstrate ability to independently learn technologies and process thru continuous learning
Ability to work as part of a crosscultural team including flexibility to support multiple locations when necessary
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