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The Architecture Sr Lead Analyst at Citi is a senior role tasked with advancing enterprise data architecture and data engineering, designing scalable data solutions, leading teams, and ensuring compliance with industry regulations. This position requires strong technical expertise, leadership capabilities, and strategic foresight to support Citigroup's business goals.
Job Responsibility:
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
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
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
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
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
Requirements:
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
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
Nice to have:
Expertise in big data technologies such as Hadoop ecosystems, and Presto/Spark
Familiarity with data fabric or data mesh architectures
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