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Salary
≈ $54k – $111k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Architect · 10+ years exp

First seen by Alion on Oct 26, 2026.

Overview
Company
Impact
Profile match
Binarystar SearchX is a boutique headhunting search firm founded in 2020 that focuses on the experience of both clients and candidates. Its searches cover data scientists, cloud and network architects, AI engineers, product managers and software development engineers. The firm is based in India.

Role Overview :

We are seeking an experienced and visionary Head of AI & Data Architecture to lead the organization's enterprise-wide AI and Data transformation initiatives. The ideal candidate will define and drive the AI and Data Architecture roadmap, build scalable and secure data platforms, and architect next-generation AI/GenAI solutions that enable business innovation and operational excellence.

Key Responsibilities :

Enterprise AI & Data Strategy :

- Define and drive the enterprise AI and Data Architecture vision, strategy, and roadmap.

- Align AI and data initiatives with business objectives and digital transformation goals.

- Provide architectural leadership across data, analytics, machine learning, and GenAI ecosystems.

Data Platform Architecture :

- Design and implement enterprise-scale Data Lakes, Data Warehouses, Lakehouse platforms, and Data Pipelines.

- Build modern real-time and event-driven data architectures.

- Lead the architecture of scalable, high-performance data ecosystems supporting analytics and AI use cases.

Qualifications :

- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or related field.

- AWS, Azure AI, Data Engineering, or Cloud Architecture certifications preferred.

- Strong understanding of enterprise architecture frameworks and modern data platforms.

Preferred Industry Experience :

- BFSI, FinTech, Digital Lending, Banking & Financial Services.

Tech Stack :

- AI/GenAI : LLMs, RAG, Agentic AI.

- Data Architecture : Data Modeling, Data Lakes, Data Warehousing.

- Cloud Platforms : AWS (preferred), Azure, or GCP.

- Data Platforms : Databricks, Snowflake, etc.

- Databases : PostgreSQL, MySQL, NoSQL, Vector Databases.

- Data Engineering : ETL/ELT, Streaming Data, Kafka.

- Programming : Python, SQL, Shell Scripting.

- Governance : Data Quality, Security, Privacy, Metadata, Lineage.

- LLMOps and AI Platform Engineering.

Skills

Data Architect, Artificial Intelligence, Generative AI, Data Modeling, Data Warehousing, Python, AWS, Databricks, IT Head, Data Strategy

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