Salary
💰 $141,440 - $212,160 per year
Tech Stack
AWSAzureCloudGoogle Cloud PlatformHadoopKafkaOraclePostgresSparkSQLTableau
About the role
- Lead the end-to-end architectural design for complex data initiatives, including data warehousing, data lakes, data integration, and analytical platforms, ensuring solutions are scalable, resilient, and performant.
- Design and implement Big Data solutions leveraging technologies such as Hadoop, Spark.
- Drive the development of advanced analytical dashboards and reports using Tableau, ensuring data is presented clearly and effectively to support business decision-making. This includes designing data models optimized for Tableau performance.
- Provide technical leadership and guidance to development teams, ensuring adherence to architectural standards, coding best practices, and security policies. Mentor and coach junior architects and engineers.
- Collaborate extensively with business stakeholders, product managers, and other IT teams to gather requirements, define technical strategies, and communicate complex architectural concepts in an understandable manner.
- Ensure all data solutions comply with regulatory requirements, data governance policies, and internal security standards inherent to the banking industry.
- Identify and address performance bottlenecks in data pipelines and analytical solutions, implementing optimizations to improve efficiency and responsiveness.
Requirements
- Minimum of 12+ years of experience in IT, with at least 5+ years in a senior solution architecture role focused on data and analytics within a large enterprise, preferably in the financial services industry.
- Proven track record of designing and delivering large-scale, complex data solutions from concept to production.
- Extensive hands-on experience with Big Data technologies and Oracle (e.g., Hadoop ecosystem, Spark, Kafka, Hive, Impala, PL/SQL, SQL with latest Oracle version).
- Expert-level proficiency in Tableau for data visualization, dashboard design, and performance tuning.
- Strong experience with relational databases (e.g., SQL Server, Oracle, PostgreSQL) and data modeling techniques.
- Experience with cloud platforms (AWS, Azure, GCP) and their respective data services is a plus.
- Familiarity with data governance, data quality, and master data management (MDM/CDGP) principles.
- Exceptional analytical and problem-solving skills.
- Strong leadership and mentoring abilities.
- Excellent communication (written and verbal) and presentation skills.
- Deep understanding of enterprise security best practices and their application to data solutions.
- Certifications in relevant technologies (e.g., Tableau Certified Professional, AWS Certified Solutions Architect, Cloudera Certified Professional) are a plus.
- Bachelor's degree in Computer Science or related field; Master’s degree preferred.
- Applicants must be authorized to work in the U.S. (Citi will not sponsor applicants for U.S. work authorization for this position).