Architecture Sr Lead Analyst - C14

Key Responsibilities:

• Strategic Leadership:
  • Stay abreast of emerging trends in enterprise data architecture and data engineering.
  • Identify opportunities to leverage these technologies to address business challenges within the banking industry.
  • Contribute to the development and execution of Citigroup's overall data strategy.
• Data Architecture and Engineering:
  • Design and implement state-of-the-art data flows, including cloud migration strategies, big data deployment plans, integrations, and supporting infrastructure.
  • Analyze and optimize data storage, governance, and organizational needs across various business units.
  • Develop and maintain a robust and scalable data architecture that supports Citigroup's current and future needs.
• Technical Expertise:
  • Possess deep understanding and hands-on experience with various database systems, messaging systems, data warehouses, data lakes, and lakehouses.
  • Familiarity with data fabric or data mesh architectures is highly desirable.
  • Expertise in big data technologies such as Hadoop ecosystems, and Presto/Spark is a plus.
  • Well versed in public and private cloud architecture.
• Team Management and Collaboration:
  • Effectively lead and manage a geographically dispersed team of data architects and engineers.
  • Collaborate with senior management, business stakeholders, and technical teams to gather requirements, present solutions, and drive consensus.
  • Foster a culture of innovation, collaboration, and continuous improvement within the team.
• Communication and Influence:
  • Possess exceptional communication and presentation skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
  • Effectively communicate and present design reports to senior management and C-level executives.
  • Influence decision-making and drive alignment across different stakeholders through strong diplomacy and negotiation skills.
• Risk Management and Compliance:
  • Demonstrate a strong understanding of risk management principles and ensure compliance with relevant laws, regulations, and internal policies.
  • Proactively identify and mitigate potential risks associated with data architecture and management.

Qualifications:

• A minimum of 15 years of experience in data architecture, data engineering, or a related field.
• A relevant master's degree may substitute for some years of experience.
• Prior experience as a Data Engineer, Data Manager, or Data Scientist is highly preferred.
• Strong understanding of data governance policies and procedures.
• Proven ability to manage complex projects and deliver results in a fast-paced environment.

Skills:

• Strong communication, diplomacy, and stakeholder management skills.
• Excellent visual presentation and articulation skills.
• Deep understanding of data warehousing, data lakes, and data lakehouse architectures.
• Experience with data governance, data quality, and data security best practices.
• Strong analytical and problem-solving skills.
• Working knowledge of Public Cloud ecosystem (preferably AWS or GCP)
• Hands on experience with Snowflake or Databricks
• Prior experience with messaging queues like Kafka/Raven
• ETL experience a plus

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