Data Architect

Hydraforce - Saratoga, CA

Full-time - Senior

Saratoga, CA

10,001+ employees

Fabricated Metal Product Manufacturing

About the position

The Data Architect position at Bosch Global Software Technologies Private Limited involves designing and implementing high-performance data architectures to support generative AI solutions. The role requires collaboration with Generative AI Engineers to create scalable and efficient data infrastructures, focusing on cutting-edge technologies such as vector databases and infrastructure as code. The Data Architect will play a crucial role in shaping the future of AI by ensuring data quality, governance, and performance optimization.

Responsibilities

• Partner with Generative AI Engineers and architects to understand their data requirements and design a highly scalable, secure, and efficient data architecture.
• Design and implement data pipelines for ingesting, processing, and storing massive datasets for training and running generative models.
• Select and implement cutting-edge data storage solutions, considering scalability, performance, cost, and suitability for vector data.
• Ensure data quality by implementing data cleansing, transformation, and validation processes.
• Develop data governance policies and procedures to ensure data security, compliance, and accessibility.
• Automate data pipelines and workflows using tools optimized for high-performance data processing.
• Monitor and optimize data infrastructure performance for efficiency and scalability.
• Collaborate with Data Scientists and Machine Learning Engineers to understand broader data needs and ensure alignment.
• Stay up-to-date on the latest big data technologies, vector databases, and best practices for data management in AI environments.

Requirements

• 10 years of experience in data architecture design and implementation, with a focus on high-performance data solutions
• Strong understanding of data management principles, data modeling techniques, data governance practices, and distributed systems
• Experience working with big data technologies (e.g., Kafka, PostgreSQL, MongoDB) and familiarity with vector databases (e.g., Pinecone, Faiss, Lance DB)
• Proficiency in SQL and experience with data warehousing solutions (e.g., Snowflake, Redshift) is an added advantage
• Experience with Azure and AWS cloud platforms and Terraform
• Excellent communication and collaboration skills to effectively interact with technical and non-technical stakeholders
• Strong problem-solving and analytical skills with a data-driven approach
• Ability to work independently and manage multiple projects simultaneously