Enterprise Data Architect

5 days ago

Bengaluru, Karnataka, India Sonata Software Full time

About Sonata Software In today's market, we observe a distinct duality in technology adoption. On one front, clients are keenly focused on cost containment, while on the other, there is a strong drive to modernize their digital storefronts, aiming to appeal to both consumers and B2B customers alike. 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. In addition, we bring agility and systems thinking to accelerate time to market for our clients. Headquartered in Bengaluru, India, Sonata Software has a strong global presence, with strategic operations spanning across key regions such as the US, UK, Europe, APAC, and ANZ. We are a trusted partner of world-leading companies in TMT (Telecom, Media, and Technology), Retail & CPG, Manufacturing, BFSI (Banking, Financial Services and Insurance), and HLS (Healthcare and Lifesciences). 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. To know more, visit: If this opportunity aligns with your aspirations, please share your updated profile with Shobha at ( ) Enterprise Data Architect - We are looking for Cloud Data Architects with deep expertise in Enterprise data strategy, architecture & solution implementations. Experience across major cloud platforms (AWS, Azure), data modeling, ETL pipelines, and big data technologies are must. This role requires strong problem-solving skills, technical leadership, and the ability to work with cross-functional teams and also collaborate with our global field sales teams and customers. Location: Hyderabad or Bangalore. Relevant Experience: 10+ years Key Responsibilities & Skills required - Data Architecture & Strategy : Design and implement scalable, secure, and cost-effective cloud data architectures. Data Platform : Architect and design data lakes, data warehouses, and real-time processing solutions on cloud platforms. ETL & Data Integration : Design and optimize ETL/ELT pipelines to ingest, transform, and manage structured and unstructured data. Big Data & Analytics : Implement big data solutions using tools such as Apache Spark, Databricks, Snowflake, Redshift, or BigQuery. Data Governance & Security : Ensure data privacy, security, and compliance with regulatory requirements. Performance Optimization : Tune databases, data pipelines, and queries for efficiency and scalability. Collaboration & Leadership : Work with data engineers, analysts, and business stakeholders to align data solutions with business goals. Automation & DevOps : Implement CI/CD pipelines, Infrastructure-as-Code (IaC), and monitoring solutions for data platforms.

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