Data Architect Movate

Position -- Permanent
Role – Data Architect
Experience – 12 -15 Years
Location – Bangalore
Work Mode - Hybrid
About the Company
Movate is a new age services company that harnesses the power of digital technologies to reimagine customer
engagements.
We enable businesses to anticipate and face disruptions effectively through our digital, technology and support
services.
We are a global customer experience and technology consulting services provider and a digital transformation
partner of choice for its clients, which include the world’s top innovators across industries, from mid-market players
to large enterprises. We have a diverse team of over 11,500 customer-centric thinkers, collaborators, and co-
creators across 20 global locations.
About the Role
We are looking for a highly experienced Data Architect with a strong foundation in SQL, Python, and Natural
Language to SQL (NL2SQL) systems. The ideal candidate will also bring hands-on experience in prompt engineering.
This is a strategic role where you'll help shape the future of intelligent data access and next-generation analytics
solutions.
Responsibilities
• Architect and maintain scalable, secure, and efficient enterprise data platforms.
• Design robust data models, ETL frameworks, and data warehouses to support analytics, ML, and AI use
cases.
• Lead the evaluation of systems that convert natural language queries into executable SQL (NL2SQL),
leveraging LLMs.
• Apply prompt engineering best practices to improve the performance and accuracy of language models in
querying, summarizing, and interacting with data.
• Build modular, reusable data evaluation pipelines using Python (Pandas, PySpark, SQLAlchemy, etc.).
• Guide data governance, cataloguing, and metadata strategies.
Requirements
• 12+ years of hands-on experience in data engineering or data architecture roles.
• Deep expertise in SQL (complex joins, window functions, performance tuning).
• Strong Python development skills for building data services and automation.
• Solid understanding of LLMs, NLP pipelines, and tools like LangChain or LlamaIndex.
• Experience in prompt engineering — crafting, testing, and refining prompts for use with language models.
• Proficiency in modern cloud data platforms (e.g., BigQuery, Snowflake, Redshift, Databricks).
• Excellent communication and documentation skills.
• Bachelor's or Master’s degree in computer science, Data Science, or a related field.

Preferred Qualifications
• Experience working with vector databases and embedding search.
• Familiarity with enterprise LLM implementation patterns
• Certifications in cloud or data platforms (e.g., GCP Data Engineer, Azure Data Architect).
Pay range and compensation package
• Competitive salary based on experience and qualifications.
Equal Opportunity Statement
We are an equal opportunity employer and are committed to creating a diverse and inclusive workplace. We enco
urage applications from all qualified individuals regardless of race, gender, age, sexual
orientation, disability, or any other characteristic protected by law.
Qualifications
• Bachelor’s degree in computer science, information technology, or a related field.