Job Title: Data Architect

Location: Bengaluru, Karnataka, India (On-site / Hybrid)

Experience Level: 10+ Years

Employment Type: Full time

About Qubist Solutions

At Qubist, we build cutting-edge technology and intelligent systems—from high-reliability hardware to enterprise data platforms and AI/ML solutions. We specialize in solving complex operational and engineering challenges through data-driven architectures, visual intelligence, and scalable cloud implementations.

Position Overview

We are seeking a Data Architect to lead the vision, structure, and execution of our enterprise data ecosystem. In this role, you will design robust cloud data warehouses, construct scalable data integration pipelines, and embed modern AI/ML capabilities into data processing workflows. You will bridge high-level strategy with technical execution to turn raw organizational data into accessible, actionable insights.

Key Responsibilities

- Architecture & Modern Data Stack: Design, build, and optimize enterprise cloud data warehouse solutions (Snowflake, Databricks, AWS Redshift, or Azure Synapse) and data lakehouse models.
- Pipeline & Integration Engineering: Architect end-to-end ETL/ELT pipelines and RESTful API integrations to process structured, semi-structured, and unstructured data streams with high efficiency.
- AI & Machine Learning Enablement: Collaborate with AI/ML engineering teams to incorporate LLM workflows, predictive models, and modern automated processing into core data pipelines.
- Data Modeling & Performance Tuning: Define conceptual, logical, and physical data models. Author and optimize complex SQL/NoSQL queries, stored procedures, and database structures for maximum performance.
- Analytics & BI Architecture: Structure and streamline data layers for business intelligence tools (Power BI,



Tableau, or similar analytics stacks) to support reporting and real-time dashboarding.
- Governance & Security: Establish data governance, metadata management, lifecycle policies, and strict access/security protocols.

Qualifications & Experience

- Experience: 10+ years of experience in data engineering, enterprise data architecture, or data warehouse implementation.
- Cloud & Warehousing: Advanced hands-on experience with modern cloud data platforms (Snowflake, Databricks, AWS Redshift, or Azure Synapse) and data lake platforms.
- Data Pipelines & Tools: Proficiency with data orchestration and transformation tools (dbt, Apache Airflow, Spark, Kafka) and advanced SQL/T-SQL performance tuning.
- Languages & APIs: Expertise in Python, Scala, or Java, along with strong experience constructing and consuming RESTful APIs.
- Emerging Tech: Familiarity with integrating AI/ML frameworks, vector databases, or LLM-driven pipelines within cloud data architectures.
- Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related technical discipline

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📌 Senior Data Architect (10+ Years) - Bangalore (Bengaluru)
🏢 Qubist Solutions
📍 Bengaluru