Data Architect Manager (Data Modeling, ETL, DBMS) - SVP - New York (Hybrid)

We are seeking a highly skilled and experienced Data Architect to join our team in order to deliver on major business priorities within the Client Financial Platform. As a Data Architect, you will play a critical role in designing, developing, and maintaining our data pipelines within and across our applications. You will lead a team of talented engineers, providing technical guidance and mentorship while ensuring the successful delivery of high-quality solutions. This role requires a deep understanding of data technologies, strong leadership skills, and a passion for data-driven decision-making.

Responsibilities:

• Design and implement data models: Develop conceptual, logical, and physical data models that meet business requirements.
• Develop data warehousing strategies: Design and implement data warehouses and data lakes to support business intelligence and analytics.
• Establish data governance policies: Define and enforce data quality standards, access controls, and security protocols.
• Collaborate with stakeholders: Work with data scientists, engineers, and business analysts to understand data needs and translate them into technical solutions.
• Evaluate and select data management tools: Research and recommend appropriate data management technologies and tools.
• Oversee data migration and integration: Manage the process of migrating data from legacy systems to new platforms.
• Performance tuning and optimization: Monitor and optimize data infrastructure performance to ensure efficient data access.
• Stay up-to-date with industry trends: Keep abreast of the latest developments in data management technologies and best practices.

Qualifications:

• Data modeling: Expertise in various data modeling techniques, including relational, dimensional, and NoSQL.
• Data warehousing: Strong understanding of data warehousing concepts and experience with data warehouse design and implementation.
• ETL processes: Proficiency in designing and implementing Extract, Transform, Load (ETL) processes.
• Database management systems (DBMS): Extensive knowledge of various DBMS platforms, such as SQL Server, Oracle, and MySQL.
• Big data technologies: Familiarity with big data technologies like Hadoop, Spark, and NoSQL databases.
• Business Intelligence: Experience with various BI tools and technologies including Tableau, PowerBI, Microstrategy, etc.,
• Data governance: Understanding of data governance principles and best practices.
• Cloud computing: Experience with cloud-based data platforms like AWS, Azure, and GCP.
• Communication and collaboration: Excellent presentation, communication and interpersonal skills to effectively collaborate with stakeholders.

Experience:

• 8+ years of experience

Education:

• Bachelors or Masters in Computer Science or equivalent field

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In addition to salary, Citis offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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