This is a remote position.
Key Responsibilities:
Design, implement, and optimize data architectures to support large-scale AI and machine learning systems
Collaborate with cross-functional teams to define data models, APIs, and integration flows
Architect secure, scalable data pipelines for structured and unstructured data
Oversee data governance, access controls, and compliance (GDPR, SOC2, etc.)
Select appropriate data storage technologies (SQL/NoSQL/data lakes) for various workloads
Work with MLOps and DevOps teams to enable real-time data availability and model serving
Evaluate and integrate third-party APIs, datasets, and connectors
Contribute to system documentation and data architecture diagrams
Support AI researchers with high-quality, well-structured data pipelines
Requirements
Required Qualifications:
Bacheloror Masterdegree in Computer Science, Data Engineering, or a related field
5+ years of experience as a Data Architect, Data Engineer, or in a similar role
Expertise in designing cloud-based data architectures (AWS, Azure, GCP)
Strong knowledge of SQL, NoSQL, and distributed databases (PostgreSQL, MongoDB, Cassandra, etc.)
Experience with big data tools like Spark, Kafka, Airflow, or similar
Familiarity with data warehousing tools (Redshift, BigQuery, Snowflake)
Solid understanding of data privacy, compliance, and governance best practices
Preferred Qualifications:
Experience working on AI/ML or Gen AI-related products
Proficiency in Python or another scripting language used for data processing
Exposure to building APIs for data ingestion and consumption
Prior experience supporting enterprise-level SaaS products
Strong analytical and communication skills
Travel & Documentation Requirement:
Candidate must hold a valid passport
Willingness to travel overseas for 1 week (as part of client collaboration)
Having a valid US visa (e.g., B1/B2, H1B, Green Card, etc.) is a strong advantage
Benefits
Why Join Us:
Work on high-impact, cutting-edge Generative AI products
Collaborate with some of the best minds in AI, engineering, and product
Flexible work culture with global exposure
Opportunity to work on deeply technical challenges with real-world impact