Lead the security posture of Springbrook’s products, cloud platforms, and corporate environment, setting strategy and driving execution across engineering, IT, operations, product, and customer-facing teams.
Responsibilities
Own security strategy and execution
Architect layered defense-in-depth security model
Brief board on cyber risk
Drive cloud IAM policy and PCI scoping
Collaborate with engineering on security capabilities
Lead the design, implementation, and operation of data infrastructure for agentic, LLM‑based AI solutions within Roche Digital Technology’s Applied AI Engineering Team.
Responsibilities
Collaborate with AI engineers, data scientists, product owners, and developers to integrate LLMs into scalable, robust, fair, and ethical end‑user applications.
Design and implement scalable, high‑performance data pipelines for AI/GenAI applications, ensuring efficient ingestion, transformation, storage and retrieval.
Work with vector databases such as AWS OpenSearch and Azure AI Search to enable similarity search and RAG for generative AI.
Build and maintain cloud‑based data solutions using AWS (OpenSearch, S3, Lambda) or Azure (AI Search, Blob Storage).
Design and optimize data storage and processing using Snowflake for scalable, cloud‑native analytics.
Requirements
Bachelor's degree in Computer Science, Data Engineering or related fields
As a Data Architect you will help drive data and AI transformations for our clients by defining the data blueprint and architecture for our clients' most complex programmes.
Responsibilities
Define data blueprint and architecture for complex programmes
Architect end-to-end data platforms including ingestion, orchestration, governance, security, cost-optimisation, and observability
Translate business needs into scalable, resilient, and secure data solutions
Lead client-facing engagements and translate business needs into technical solutions
Lead teams and take ownership of end-to-end assignment delivery
Requirements
Nice to have: Certifications in appropriate methodologies and cloud technologies
Nice to have: Experience with Azure
Nice to have: Experience with AWS
Nice to have: Experience with Google Cloud Platform
As a Data Architect you will help drive data and AI transformations for our clients by defining the data blueprint and architecture for our clients' most complex programmes.
Responsibilities
Define data blueprint and architecture for complex programmes
Architect end-to-end data platforms including ingestion, orchestration, governance, security, cost‑optimisation and observability
Translate business needs into scalable, resilient and secure data solutions
Lead teams and deliver end‑to‑end assignment delivery
Drive business growth through bid leadership and new opportunities
Requirements
Nice to have: certifications in cloud technologies
Lead the design, development, and maintenance of scalable data pipelines and integration solutions on Snowflake and AWS for automotive, mobility, and financial services domains.
Responsibilities
Design, develop, and maintain scalable data pipelines and integration solutions using Snowflake and AWS
Build and optimize ETL/ELT processes to integrate data from multiple enterprise systems
Develop and maintain data models, schemas, and transformation logic within Snowflake
Implement data transformations, mappings, and business rules
Develop and optimize complex SQL queries and data processing workflows, ensuring performance, scalability, and cost efficiency
Senior Data Engineer responsible for designing, developing, and maintaining scalable data pipelines and integration solutions on Snowflake and AWS within the automotive, mobility, and financial services domain.
Responsibilities
Design, develop, and maintain scalable data pipelines and integration solutions using Snowflake and AWS
Build and optimize ETL/ELT processes to integrate data from multiple enterprise systems
Develop and maintain data models, schemas, and transformation logic within Snowflake
Implement data transformations, mappings, and business rules
Develop and optimize complex SQL queries and data processing workflows, ensuring performance, scalability, and cost efficiency
Senior Data Engineer responsible for designing, developing, and maintaining scalable data pipelines and integration solutions on Snowflake and AWS to support automotive, mobility, and financial services domains.
Responsibilities
Design, develop, and maintain scalable data pipelines and integration solutions using Snowflake and AWS
Build and optimize ETL/ELT processes to integrate data from multiple enterprise systems
Develop and maintain data models, schemas, and transformation logic within Snowflake
Implement data transformations, mappings, and business rules
Develop and optimize complex SQL queries and data processing workflows, ensuring performance, scalability, and cost efficiency
Lead the design, development, and maintenance of scalable data pipelines and integration solutions on Snowflake and AWS to support automotive, mobility, and financial services domains.
Responsibilities
Design, develop, and maintain scalable data pipelines and integration solutions using Snowflake and AWS
Build and optimize ETL/ELT processes to integrate data from multiple enterprise systems
Develop and maintain data models, schemas, and transformation logic within Snowflake
Implement data transformations, mappings, and business rules
Develop and optimize complex SQL queries and data processing workflows, ensuring performance, scalability, and cost efficiency
Senior Vice President, Information SecurityNewSpringbrook Holding Company LLC · Atlanta, US
Fullstack Data Engineer - Applied & Agentic AI SystemsNewRoche · Hyderabad, India