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. In addition, we bring agility and systems thinking to accelerate time to market for our clients.

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

Location: Chennai, India (5 days a week from office)

Job Type: Full time

Experience

10 to 15 Years

Role Description

• Architect scalable, secure, high-performance data solutions for fraud detection and risk management.
• Design end-to-end data architectures including ingestion, transformation, storage, governance, lineage, and consumption layers.
• Build and optimize high-quality data pipelines (ETL/ELT) using Spark, PySpark, and Databricks.
• Handle structured and semi-structured high-scale datasets ensuring data integrity and quality.
• Work with data scientists to prepare training datasets, support feature engineering, and operationalize machine learning models.
• Implement cloud-native data solutions on Microsoft Azure using services like Data Lake, Synapse, Databricks, Event Hubs, Functions, and Key Vault.
• Establish data governance practices covering metadata, lineage, quality rules, and security controls.
• Drive technology evaluations, POCs, and contribute to the data platform roadmap.
• Lead deployments across environments ensuring smooth releases and minimal risk.
• Provide technical leadership, mentor data engineers, and maintain architectural standards across squads.

Critical to Quality Parameters (CTQs)

Skills

Things to Check During Interview

Skill Proficiency Level

Must Have / Good to Have

Enterprise Data Architecture

Ability to design scalable, secure data architectures; experience with fraud and risk analytical models; understanding of distributed data systems

Level 4–5

Must Have

Data Engineering (ETL/ELT & Pipelines)

Strong knowledge of ETL/ELT concepts; building large-scale pipelines; orchestration and incremental loading experience

Level 4

Must Have

Big Data Processing (Spark/PySpark/Databricks)

Hands-on Spark and PySpark; performance tuning; Databricks development experience

Level 3–4

Must Have

Azure Cloud Data Stack

Azure Data Lake, Synapse, Event Hubs, Databricks, Functions, Key Vault; understanding cloud security and scaling

Level 3–4

Must Have

Programming (Python/Java/SQL)

Strong SQL skills; Python for data workflows; Java for integration support

Level 3–4

Must Have

NoSQL & High-Scale Databases

Experience with Cassandra or similar NoSQL stores; knowledge of partitioning, indexing, caching

Level 3

Good to Have

Machine Learning Operationalization

Experience preparing fraud datasets; feature engineering; operationalizing ML models; familiarity with PCA, XGBoost

Level 2–3

Good to Have

Data Governance & Quality

Ability to define quality rules, lineage, standardization; metadata management

Level 3–4

Must Have

Performance Tuning & Optimization

Query optimization, pipeline tuning, data model performance improvements

Level 3

Good to Have

Soft Skill

Description

Skill Proficiency Level

Technical Leadership

Leads architectural discussions, mentors teams, and enforces best practices

Level 4

Problem-Solving & Analytical Thinking

Analyzes issues deeply and proposes scalable solutions

Level 4

Cross-Functional Collaboration

Works well with data scientists, fraud teams, engineering, and product owners

Level 3–4

Communication & Documentation

Clearly explains complex data designs; creates effective documentation

Level 3–4

Why join Sonata Software?

At Sonata, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build never seen before solutions to some of the world's toughest problems. You´ll be challenged, but you will not be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

• Sonata Software is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity, age, religion, disability, sexual orientation, veteran status, marital status, or any other characteristics protected by law.