Cloud Data Analytics Platform Engineer - VP

Citigroup

  • London
  • Permanent
  • Full-time
  • Just now
Join our rapidly expanding team as a hands-on Cloud Data Analytics Platform Engineer and play a pivotal role in shaping the future of data at Citi. We're building a cutting-edge, multi-cloud data analytics platform that empowers our users with secure, scalable, and efficient data insights. This role sits at the intersection of infrastructure, data engineering, and architecture, offering a unique opportunity to work with the latest cloud-native technologies and influence our data strategy. This is a hands-on role requiring deep technical skills and a passion for building and optimizing data platforms.What You'll Do:
  • Architect and Build: Design and implement a robust, cloud-native data analytics platform spanning AWS, GCP, and other emerging cloud environments. You'll leverage services like S3/GCS, Glue, BigQuery, Pub/Sub, SQS/SNS, MWAA/Composer, and more to create a seamless data experience. (Required)
  • Data Lake , Data Zone, Data Governance: Design, build, and manage data lakes and data zones within our cloud environment, ensuring data quality, discoverability, and accessibility for various downstream consumers. Implement and maintain enterprise-grade data governance capabilities, integrating with data catalogs and lineage tracking tools to ensure data quality, security, and compliance. (Required)
  • Infrastructure as Code (IaC): Champion IaC using Terraform, and preferably other tools like Harness, Tekton, or Lightspeed, developing modular patterns and establishing CI/CD pipelines to automate infrastructure management and ensure consistency across our environments. (Required, with expanded toolset)
  • Collaboration and Best Practices: Work closely with data engineering, information security, and platform teams to define and enforce best practices for data infrastructure, fostering a culture of collaboration and knowledge sharing. (Required)
  • Kubernetes and Orchestration: Manage and optimize Kubernetes clusters, specifically for running critical data processing workloads using Spark and Airflow. (Required)
  • Cloud Security: Implement and maintain robust security measures, including cloud networking, IAM, encryption, data isolation, and secure service communication (VPC peering, PrivateLink, PSC/PSA). (Required) . Your knowledge of compliance frameworks relevant to cloud data will be invaluable in maintaining a secure and compliant data environment. (Optional)
  • Snowflake and Databricks (Optional, but highly desired): Leverage your experience with Snowflake and Databricks to enhance our data platform's capabilities and performance. While not mandatory, experience with these technologies is a significant advantage.
  • Event-Driven Architectures , FinOps and Cost Optimization (Optional): Contribute to the development of event-driven data pipelines using Kafka and schema registries, enabling real-time data insights and responsiveness. Apply FinOps principles and multi-cloud cost optimization techniques to ensure efficient resource utilization and cost control.
What You'll Bring:
  • Hands-on Engineering Expertise: You're a builder who enjoys diving into the technical details and getting your hands dirty. You thrive in a fast-paced environment and are eager to make a direct impact.
  • Experience : 8-13 years of relevant experience in Data Engineering & Infrastructure Automation
  • Cloud Expertise: Proven hands-on experience with AWS and/or GCP, including a deep understanding of their data analytics service offerings.
  • Data Lake/Zone/Governance Experience: Demonstrable experience designing, building, and managing data lakes and data zones. Familiarity with data governance tools and frameworks.
  • IaC Proficiency: Solid experience with Terraform and preferably Harness, Tekton, or Lightspeed for CI/CD pipeline management.
  • Kubernetes Mastery: Strong command of Kubernetes, especially in the context of data processing workloads.
  • Security Focus: A firm grasp of cloud security principles and best practices.
  • Financial Services Experience: Experience working in financial services, banking, or on data-related cloud transformation projects within the financial industry. (Highly Desired)
We offer:By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:27 days annual leave (plus bank holidays)A discretional annual performance related bonusPrivate Medical Care & Life InsuranceEmployee Assistance ProgramPension PlanPaid Parental LeaveSpecial discounts for employees, family, and friendsAccess to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.#LI-MK2Job Family Group: TechnologyJob Family: Systems & EngineeringTime Type: Full timeMost Relevant Skills Please see the requirements listed above.Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review .View Citi’s and the poster.

Citigroup