Lead Data Solutions Architect

Nomura

New York (NY)

Hybrid

USD 145,000 - 175,000

Full time

14 days+

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Benefits offered by this job

401(k) eligibility

Medical benefits

Flexible work hours

Job summary

A global financial services firm is seeking a Platform Lead Nucleus to lead a data engineering team in New York. The role involves driving the implementation of data solutions and modernizing existing data infrastructure while collaborating with internal clients. Ideal candidates have extensive experience in data management, cloud-based solutions, and strong programming skills. This position offers hybrid work options and competitive compensation.

Qualifications

10+ years working experience as a Technical Lead or Architect.
6+ years of delivery and implementation work experience in Data and Analytics.
3+ years of experience in building Cloud Data solutions, preferably AWS.

Responsibilities

Oversee the activities of the US team and provide technical guidance.
Support the delivery of cloud-based solutions including data warehouses.
Collaborate with internal clients' technology teams to enhance data functionality.

Skills

Advanced SQL

Java

Python programming

Data modeling concepts

Cloud Data solutions

Data management

ETL Tools

Education

College or University degree in Computer Science, Mathematics or Data Science

Tools

AWS

Snowflake

Databricks

Power BI

Tableau

Kafka

Job description

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

Company overview

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 www.nomura.com.

Department Overview

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, StreamSets, 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.

Role Overview

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.

Key Responsibilities

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.

Qualifications

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 business and technical experts
College or University degree in Computer Science, Mathematics, Data Science and/or relevant degree

Preferred Skills

Passionate about data and analytics, analytical mind with a problem-solving aptitude
Ability to perform training and mentorship
Visualization tools like Power BI, Tableau
Proven abilities to take initiative and be innovative

The base pay offered may vary depending on multiple individualized factors, including market location, corporate and functional title and duties, job-related knowledge and advanced degrees, skills, and experience. The total compensation package for this position may also include other elements, including a sign-on bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employee will be in an at-will position and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Nomura is an Equal Opportunity Employer.

Seniority level