Data Architect
- BOS Framework
- 12 - 16 years
- Hyderabad
- 3 days ago
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Job Description
Key Responsibilities:
- Monitor and maintain data pipeline reliability, including logging, alerting, and troubleshooting failures.
- Good knowledge on Artificial Intelligence and Machine learning
- Design, develop, and optimize relational and NoSQL databases for diverse applications, including AI and large-scale data processing.
- Build and manage ETL/ELT pipelines to ensure efficient data processing and transformation.
- Optimize database performance for high-availability applications, reporting, and analytics.
- Implement data partitioning, indexing, and sharding strategies for scalability.
- Ensure data integrity, governance, and security across multiple applications.
- Collaborate with teams to streamline data access, model storage, and training workflows when applicable.
- Develop SQL queries, stored procedures, and views for efficient data retrieval.
- Monitor and troubleshoot database performance, bottlenecks, and failures.
Required Skills & Qualifications:
- Strong SQL expertise (writing complex queries, optimization, stored procedures, indexing).
- Experience with relational databases (PostgreSQL, SQL Server) and NoSQL databases (MongoDB, Redis).
- Knowledge of AI-related database optimizations, such as vector databases (e.g., Pinecone, FAISS, Weaviate) for embedding storage and retrieval is a plus.
- Experience working with enterprise data workflows, including data modeling and architecture.
- Dimensional Modeling / Data Warehousing: Experience with dimensional modeling (star/snowflake schemas) and data warehousing concepts (e.g., Kimball, Inmon).
- Metadata Management & Data Catalogs: Familiarity with metadata management, data catalogs, or data lineage tools (e.g., Alation, Data Catalog in GCP, AWS Glue Data Catalog).
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and cloud-based data storage solutions.
- Familiarity with big data technologies (Spark, Hadoop, Kafka) is a plus.
- Strong Python or SQL scripting skills for data manipulation and automation.
- Knowledge of data security, privacy regulations (GDPR, CCPA), and compliance standards.
- Unit / Integration Testing: Experience with testing data pipelines, including unit and integration testing for transformations.
- Documentation: Strong documentation practices for pipelines, database schemas, and data governance processes.
- Excellent problem-solving skills and ability to collaborate with cross-functional teams.
- Experience with workflow orchestration tools like Apache Airflow or Prefect.
Preferred Qualifications:
- Experience with vector databases and retrieval-augmented generation (RAG) workflows.
- Understanding of AI model storage, caching, and retrieval from databases when applicable.
- Experience in machine learning model feature engineering and ML model versioning.
- Experience with containerization technologies like Docker or Kubernetes for deploying data solutions.
- Data Quality and Observability Tools: Experience with tools or frameworks for data quality checks, validation, and data observability (e.g., Great Expectations, Monte Carlo, Databand).Role & responsibilities
Preferred candidate profile
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full timeContact Details:
Company: BOS FrameworkLocation(s): Hyderabad
Keyskills: AI Data Architecture Machine Learning Database Design Data Visualization Tableau Data Modeling SQL Python
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BOS Framework
BOS Framework is a Cloud infrastructure and DevOps automation platform that enables tech teams to provision, configure, and orchestrate their application and data environments with built-in observability, resilience, and compliance, without having to learn IaC or DevOps on the job. With BOS, tech-en...
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