Senior Data Engineer Lead / Architect - Senior Vice President

Role Overview: At Citi Services - Global Trade Technology Organization, you will be part of a passionate and collaborative data team dedicated to harnessing the power of data to drive innovation, create exceptional customer experiences, and solve complex business challenges. As a Senior Data Engineering Lead / Architect, you will play a key role in designing and building the next-generation data architecture while championing a world-class data engineering culture. Key Responsibilities: - Architect & Design: Design, architect, and oversee the development of robust, scalable, and reliable data infrastructure on the cloud, including data lakes, data warehouses, and real-time streaming platforms. - Build & Code: Act as a senior individual contributor and hands-on technical leader, writing clean, maintainable, and high-performance code for data ingestion, transformation, and serving layers using Python, Scala, SQL, and Spark. - Lead & Mentor: Lead a team of data engineers, providing technical guidance, mentorship, and career development support to foster a collaborative and inclusive team environment. - Champion Culture: Define, document, and champion data engineering best practices across the organization, including CI/CD, data quality, testing frameworks, observability, and code review standards. - Drive Strategy: Partner with leadership, product managers, data scientists, and analysts to understand data needs and develop a long-term data strategy and roadmap. - Innovate & Evaluate: Stay at the forefront of data engineering technologies, evaluating and recommending new tools and frameworks to improve the data platform continuously. - Ensure Governance: Implement and enforce robust data governance, security, and privacy policies in partnership with security and compliance teams. Qualifications Required: - 10+ years of professional experience in data engineering, with a proven track record of designing and building large-scale data systems. - 3+ years in a technical leadership or architect role, with experience mentoring junior and senior engineers. - Expert-level proficiency in at least one programming language (Python or Scala preferred) and exceptional SQL skills. - Proven hands-on experience with Python or Scala for data manipulation, scripting, machine learning, and backend development. - Deep, hands-on experience with a major cloud platform (AWS, GCP, or Azure) and its data ecosystem (e.g., S3/GCS, Redshift/BigQuery, EMR/Dataproc, Kinesis/Dataflow). - Extensive hands-on experience with modern big data technologies and data streaming (like Hadoop, Hive, Impala, Apache Spark, Kafka, or Flink). - Proficiency with workflow orchestration tools such as Airflow, Dagster, or Prefect. - Proficiency in designing and implementing microservices architectures, RESTful APIs, and event-driven systems with the "Data as a Product" principle. - Solid understanding of data modeling concepts and database design for analytical (OLAP) and transactional (OLTP) workloads. - Deep understanding and hands-on experience with relational databases (e.g., PostgreSQL, Oracle), NoSQL databases (e.g., MongoDB, Cassandra), data warehousing, and big data technologies (e.g., Spark, Kafka). - Experience building and maintaining CI/CD pipelines for data applications using tools like Jenkins, GitLab CI, GitHub Actions. - Experience managing global technology teams. - Working knowledge of industry & Citi practices and standards. - Consistently demonstrates clear and concise written and verbal communication. - Exceptional communication skills, with the ability to bridge the gap between Business, Technology, and Analytics teams. Role Overview: At Citi Services - Global Trade Technology Organization, you will be part of a passionate and collaborative data team dedicated to harnessing the power of data to drive innovation, create exceptional customer experiences, and solve complex business challenges. As a Senior Data Engineering Lead / Architect, you will play a key role in designing and building the next-generation data architecture while championing a world-class data engineering culture. Key Responsibilities: - Architect & Design: Design, architect, and oversee the development of robust, scalable, and reliable data infrastructure on the cloud, including data lakes, data warehouses, and real-time streaming platforms. - Build & Code: Act as a senior individual contributor and hands-on technical leader, writing clean, maintainable, and high-performance code for data ingestion, transformation, and serving layers using Python, Scala, SQL, and Spark. - Lead & Mentor: Lead a team of data engineers, providing technical guidance, mentorship, and career development support to foster a collaborative and inclusive team environment. - Champion Culture: Define, document, and champion data engineering best practices across the organization, including CI/CD, data quality, testing frameworks, observability, and code review standards. - Drive Strategy: Partner