Senior Data Architect

Must Have Technical/Functional Skills

Key Responsibilities & Skills

• 7–12 years of experience in Data Engineering, Data Platforms, or Solution Architecture.

• Experience in Python, PySpark, Spark SQL, and distributed data processing.

• Experience working with Hadoop ecosystem and large-scale data platforms.

• Hands-on expertise with Databricks Lakehouse and modern cloud-native architectures.

• Experience with one or more cloud platforms: Azure, AWS, or GCP.

• Collaborate closely with the Enterprise Architecture team to define target-state architectures and technology roadmaps.

• Create and maintain Reference Architectures, Solution Blueprints, Design Patterns, and Architecture Standards.

• Design scalable batch, streaming, and real-time data processing solutions.

• Support AI/ML and Generative AI initiatives by building AI-ready data platforms and architectures.

• Drive architecture reviews and ensure adherence to security, scalability, governance, and best practices.

• Mentor engineering teams and provide technical leadership during solution design and implementation.

• Strong communication and stakeholder management skills with the ability to influence architecture decisions.

Preferred Qualifications

• Databricks Certification.

• Azure/AWS Cloud Certification.

• Prior experience working in Citibank consumer or wealth platform.

• Exposure to Enterprise Architecture frameworks (TOGAF preferred).

• Experience in Banking, Financial Services, or large-scale data modernization programs.