About Position:
We are seeking an experienced Senior Data Architect with 10 to 16 years of experience in designing and implementing enterprise-scale cloud data platforms. The ideal candidate will possess deep expertise in Snowflake, AWS, ETL/ELT frameworks, data warehousing, data lakes, and cloud-native architectures. This role requires strong architectural leadership to drive data modernization, migration, governance, integration, and analytics initiatives while delivering scalable, secure, and cost-optimized data solutions.
Role: Senior Data Architect - Snowflake & AWS
Location: Pune
Experience: 10 to 16 Years
Job Type: Full-Time Employment
What You'll Do:
- Design end-to-end cloud data architectures leveraging Snowflake, AWS, and modern data platform technologies.
- Define architecture standards and implementation strategies for Data Warehouses, Data Lakes, Lakehouse platforms, and analytics ecosystems.
- Architect scalable and resilient ETL/ELT pipelines supporting batch, near real-time, and real-time data processing workloads.
- Lead modernization and migration initiatives from legacy and on-premises systems to Snowflake on AWS.
- Design Snowflake environments including databases, schemas, virtual warehouses, security models, resource monitors, and workload management strategies.
- Build data ingestion and integration frameworks using AWS services such as S3, Glue, Lambda, DMS, Kinesis, and other cloud-native technologies.
- Define enterprise data modeling standards, metadata strategies, data governance frameworks, and integration patterns.
- Optimize Snowflake environments for performance, scalability, concurrency, reliability, and cost efficiency.
- Establish security, compliance, and governance standards including RBAC, encryption, masking policies, auditing, and access management.
- Define CI/CD, automation, deployment, monitoring, and operational best practices for enterprise data platforms.
- Partner with business stakeholders, data engineers, architects, security teams, and cloud teams to convert business requirements into scalable technical solutions.
- Conduct architecture reviews, technology assessments, and solution design workshops.
- Provide technical leadership, mentoring, and guidance to Data Engineering and Analytics teams.
- Troubleshoot and resolve complex performance, scalability, integration, and platform architecture challenges.
- Drive adoption of best practices across cloud data engineering and enterprise data management initiatives.
Expertise You'll Bring:
- 10 to 16 years of overall IT experience with significant experience in Data Architecture, Cloud Data Platforms, and Enterprise Analytics solutions.
- Extensive hands-on expertise in designing and implementing Snowflake-based data architectures.
- Strong experience with Snowflake components including databases, schemas, virtual warehouses, RBAC, Snowpipe, Streams & Tasks, Secure Data Sharing, and Time Travel.
- Deep understanding of AWS cloud services including Amazon S3, AWS Glue, Lambda, IAM, KMS, DMS, CloudWatch, Kinesis, and related data platform services.
- Proven experience architecting enterprise-scale ETL/ELT frameworks, data ingestion processes, and integration solutions.
- Strong expertise in Data Warehousing, Data Lakes, Lakehouse architectures, and analytical data platforms.
- Proficiency in data modeling techniques including dimensional modeling, star schema, snowflake schema, and enterprise data architecture principles.
- Experience with structured, semi-structured, and unstructured data processing across large-scale environments.
- Strong understanding of cloud security, governance, compliance, data privacy, and access management frameworks.
- Expertise in Snowflake performance tuning, query optimization, workload management, storage optimization, and cloud cost management.
- Experience implementing CI/CD pipelines, DevOps practices, infrastructure automation, and data platform monitoring strategies.
- Strong understanding of modern cloud-native architecture patterns and scalable distributed systems.
- Excellent stakeholder management, architecture governance, communication, and presentation skills.
- Proven ability to lead technical discussions, influence architecture decisions, and guide engineering teams across large transformation programs.
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."
