Diversity Opportunities

About Position:
We are conducting an in-person hiring drive for the position of Senior Data Architect in Bengaluru on 31st October 2026. The interview location details are mentioned below:
Persistent Systems Ltd, 4th and 5th Floor, Block 9, Pritech Park - SEZ, Behind RMZ Ecospace, Survey Nos. 51 to 64/4 & 66/1, Bellandur Village, Varthur Hobli, Bengaluru, Karnataka - 560103.
We are seeking an experienced Senior Data Architect with strong expertise in designing and implementing modern cloud-based data platforms and enterprise-scale data architectures. The ideal candidate will possess deep technical knowledge of Python, Spark, SQL, GCP, BigQuery, Dataflow, Dataproc, APIs, and Data Modeling. This role will be responsible for defining end-to-end data architecture strategies, establishing scalable engineering patterns, and leading the design of high-performance data platforms that support analytics, reporting, artificial intelligence, and business-critical applications.
Role: Senior Data Architect
Location: Bengaluru
Experience: 10 to 15 Years
Job Type: Full-Time Employment
What You'll Do:
Define end-to-end data architecture covering data acquisition, integration, processing, storage, serving, and consumption layers.
Translate business requirements into scalable, reusable, and future-ready data architecture patterns.
Design batch, near-real-time, and streaming data-processing architectures based on business and operational requirements.
Architect enterprise data solutions using Python, Spark/PySpark, SQL, and API-driven integration frameworks.
Design cloud-native data platforms leveraging GCP technologies including BigQuery, Dataflow, Dataproc, Cloud Storage, and related services.
Evaluate and recommend technology solutions based on scalability, performance, resilience, security, operational complexity, and cost optimization.
Design logical, physical, and conceptual data models aligned with enterprise architecture standards.
Define canonical data models, integration frameworks, and reusable architecture patterns.
Architect modern Data Lake, Data Warehouse, Data Mart, and Data Product solutions.
Establish standards for metadata management, data lineage, data cataloging, governance, and data quality.
Define API and service integration strategies for enterprise-wide data sharing and interoperability.
Partner with security and governance teams to ensure compliance with organizational policies and regulatory standards.
Develop architecture diagrams, data flow diagrams, solution blueprints, interface specifications, and architecture decision documents.
Conduct architecture reviews and provide technical leadership to engineering teams.
Identify architecture risks, dependencies, bottlenecks, and non-functional requirements early in the project lifecycle.
Guide implementation teams through design, development, testing, deployment, and production readiness phases.
Drive architecture modernization initiatives and continuous improvement of enterprise data platforms.
Expertise You'll Bring:
10-15 years of experience in Data Architecture, Solution Architecture, Data Engineering, or Enterprise Data Platforms.
Strong experience designing enterprise-scale data architectures and modern data ecosystems.
Deep understanding of data engineering and distributed data-processing architectures.
Strong hands-on expertise with Python, Spark/PySpark, and SQL.
Significant experience working with Google Cloud Platform (GCP) or similar cloud platforms.
Proven experience architecting BigQuery-based analytics and data warehousing solutions.
Strong knowledge of Dataproc and Spark-based distributed processing frameworks.
Experience designing batch and streaming architectures using Apache Beam and Dataflow.
Strong understanding of ETL, ELT, Data Pipelines, and Enterprise Data Integration frameworks.
Experience defining REST API architectures and service-oriented integration patterns.
Expertise in conceptual, logical, and physical data modeling.
Strong understanding of dimensional modeling, normalization, denormalization, and analytical data structures.
Experience with metadata management, data governance, lineage, and data quality frameworks.
Knowledge of Data Lakes, Data Warehouses, Data Marts, and Lakehouse architectures.
Experience defining non-functional requirements including scalability, security, performance, resiliency, availability, and disaster recovery.
Ability to evaluate technology choices and provide architecture recommendations based on business objectives and technical constraints.
Benefits:
Competitive salary and benefits package
Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
Opportunity to work with cutting-edge technologies
Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
Annual health check-ups
Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
Values-Driven, People-Centric & Inclusive Work Environment:
Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
We support hybrid work and flexible hours to fit diverse lifestyles.
Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
Let's unleash your full potential at Persistent - persistent.com/careers
"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

Work arrangement
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