Lead Data Solutions Architect

Location:
Hybrid in New York City (3 Days a week in office).

FULLY REMOTE IS NOT AN OPTION

The pay range for this position at commencement of employment is expected to be between $145,000 and $175,000 year

Nomura is a global financial services group with an integrated network spanning over 30 countries and regions. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its three business divisions:
Retail, Wholesale (Global Markets and Investment Banking), and Investment Management. Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit

Group Data Technology team operates under the CTO division as part of Group Infrastructure Services, managing data and analytics platforms and technologies, and supporting a variety of digital data initiatives across the Nomura group. Key platforms include Data Virtualization & Distribution, Data Catalogue, Data Quality, and Governance. The team works with technologies and vendor products such as Snowflake, Stream Sets, Denodo, Power BI, Tableau, along with other proprietary tools.

Additionally, Group Data Technology collaborates closely with the Chief Data Office (CDO) division to define technology strategy, roadmaps, delivery, and ongoing support.

The Platform Lead Nucleus
, based at Nomura's New York office, provides overall leadership to a team of data engineers and analysts, driving the implementation of data solutions that address a wide range of internal business objectives and requirements. This position is both client-facing within the organization and hands-on in terms of programming and development. Collaboration with internal clients' data engineers and architects, the Platform Lead will oversee efforts to modernize existing data infrastructure such as data warehouses, data lakes, and data marts.

Responsibilities include guiding and contributing to the team's architecture and development of data ingestion processes, optimizing performance and administration, and establishing best practices for database structures.

• Oversee activities of the US team, including work scheduling, providing technical guidance, mentoring junior members, and ensuring adherence to standard development practices, while managing production support with cost awareness.
• Support the delivery of cloud-based solutions, including data warehouses, data lakes, and data marts.
• Gain a comprehensive understanding of the data environment such as tools, technology stacks, and source systems, and collaborate with internal clients' technology teams to enhance data collection, reporting, and analytics functionality.
• Design, document, and implement strategies for data warehouses, including developing ETL, ELT, and data pipeline processes.
• Create processes to efficiently load and transform large volumes of both structured and semi-structured data.
• Contribute to defining system architecture, ensuring that solutions comply with firm-mandated standards related to security and risk control, while meeting software requirements around security, compliance, scalability, efficiency, and reliability.
• Undertake a range of project-related tasks, such as coordinating with external departments, maintaining detailed documentation (including user guides, on-boarding manuals, and system architecture), conducting integration testing, and serving as a subject matter expert SME for support.

• 10+ years working experience as a Technical Lead or Architect.
• 6+ years of delivery and implementation work experience in the Data and Analytics space.
• 6+ years of working experience with data management, data warehouse/data lake design, data modeling concepts, ETL Tools, advanced SQL, Java and Python programming.
• 3+ years of working experience in building and supporting Cloud Data solutions, preferably in AWS with hands-on experience with Cloud Data Lake/Data Warehousing technologies such as Snowflake, Databricks, AWS Redshift/Spectrum
• Experience with data processing platforms AWS EMR, Hadoop, Spark
• Experience with Messaging Systems such as Kafka, Solace, Pulsar
• Understanding of core AWS services, uses, and basic AWS architecture best practices
• Proficiency in developing, deploying, and debugging cloud-based applications using AWS
• Ability to use the AWS service APIs, AWS CLI, and SDKs to write applications
• Design knowledge of Service oriented architecture, scalable micro services and data standards like JSON, Avro, Parquet, ORC, Iceberg, S3, Delta, HUDI
• Ability to use a CI/CD pipeline to deploy applications on AWS
• Excellent written and oral communication skills along with the ability to present clear and concise solutions to stakeholders and IT partners.
• Maintain and achieve technical cloud certifications (AWS or Snowflake)
• Ability to work and communicate with both…