Data Architect

Sonata Software Overview In today's market, there is a unique duality in technology adoption. On one side, extreme focus on cost containment by clients, and on the other, deep motivation to modernize their Digital storefronts to attract more consumers and B2B customers. As a leading Modernization Engineering company, we aim to deliver modernization-driven hypergrowth for our clients based on the deep differentiation we have created in Modernization Engineering, powered by our Lightening suite and 16-step Platformation™ playbook. Headquartered in Bengaluru, India, Sonata has a strong global presence, including key regions in the US, UK, Europe, APAC, and ANZ. We are a trusted partner of world-leading companies in BFSI (Banking, Financial Services, and Insurance), HLS (Healthcare and Lifesciences), TMT (Telecom, Media, and Technology), Retail & CPG, and Manufacturing space. Our bouquet of Modernization Engineering Services cuts across Cloud, Data, Dynamics, Contact Centers, and around newer technologies like Generative AI, MS Fabric, and other modernization platforms. Job Title: Data Architect Experience: 10–16 years The Data Architect will be responsible for designing, governing, and optimizing enterprise data architecture to enable scalable analytics, AI, and digital transformation initiatives. This role involves defining the data strategy, integration patterns, governance models, and architecture blueprints across data ingestion, storage, processing, analytics, and AI enablement layers — ensuring alignment with business goals, performance, and compliance. The ideal candidate combines deep technical expertise with strategic thinking, balancing data engineering, modeling, cloud platform design, and governance capabilities. Data Architecture & Design Define the enterprise data architecture blueprint covering ingestion, transformation, storage, and consumption layers. Design and govern data models, data lakes, warehouses, and semantic layers for analytics and AI workloads. Architect batch, streaming, and real-time data processing pipelines. Ensure scalability, reusability, and maintainability of data components across projects. Architect and implement data platforms on Azure, AWS, or GCP — leveraging services like Microsoft Fabric, Synapse, Databricks, Data Lake, or Snowflake. Define and oversee ETL/ELT frameworks using ADF, Fabric Data Factory, or similar orchestration tools. Design integration architectures to connect enterprise systems (ERP, CRM, IoT, APIs) with centralized data platforms. Collaborate with application teams to embed data services and APIs into operational and analytical solutions. Establish data governance, metadata management, and data cataloging practices (using Microsoft Purview or equivalent). Define policies for data quality, lineage, retention, and access control. Ensure compliance with data privacy and protection standards (GDPR, SOC2, ISO 27001). Partner with InfoSec and Compliance teams to secure sensitive data and enable controlled data sharing. Advanced Analytics & AI Readiness Enable AI/ML and GenAI workloads by architecting data pipelines for model training and inference. Design RAG (Retrieval-Augmented Generation) and vector database integration architectures for GenAI solutions. Work with Data Scientists and AI Engineers to ensure data availability, quality, and performance for analytical models. Enable Microsoft Fabric, Azure OpenAI, and Copilot integrations for data-driven insights. Define data architecture principles, frameworks, and standards across the organization. Support the establishment of a Data Architecture Council or Center of Excellence (CoE). Collaborate with Business, Cloud, and AI Architects to align data initiatives with enterprise architecture goals. Mentor data engineers and analysts to adopt best practices in design, performance tuning, and governance. Required Skills & Experience: ~10–16 years of experience in data architecture, data engineering, or analytics platform design. ~ Deep expertise in cloud data platforms — Azure (Fabric, Synapse, Data Lake, Databricks) preferred; AWS/GCP experience a plus. ~ Strong proficiency in data modeling (conceptual, logical, physical) and database technologies (SQL Server, Snowflake, PostgreSQL, Cosmos DB). ~ Proven experience with ETL/ELT tools, data pipelines, and metadata management. ~ Proficiency in SQL, Python, and Spark for data processing and automation. ~ Understanding of modern data architectures — Data Mesh, Data Lakehouse, and Fabric. ~ Experience implementing data governance and data lineage frameworks (Purview, Collibra, or Alation). ~ Familiarity with Power BI, semantic modeling, and performance tuning. ~ Strong understanding of security, compliance, and cost optimization in cloud environments. Experience with Generative AI, LLM data preparation, and RAG-based AI architectures. Knowledge of Microsoft Fabric, Copilot integration, or AI-driven analytics. Familiarity with API design, microservices, and event-driven data architectures (Kafka, Event Hub). Microsoft Certified: Azure Data Engineer / Fabric Analytics Engineer / Solution Architect Expert AWS Certified Data Analytics – Specialty Bachelor's or Master's degree in Computer Science, Data Engineering, or Information Systems. Strategic mindset with the ability to align data architecture to business outcomes. Passion for data innovation, automation, and continuous improvement. Why join Sonata Software