Lead GCP Data Architect

Persistent Systems Limited; Bengaluru; Hybride; INR 3 000 000 - 6 500 000; Plein temps

Avantages offerts par ce poste

Hybrid work model

Company-sponsored higher education and

insurance coverage

Résumé du poste

Persistent Systems Limited seeks a Lead GCP Data Architect to design scalable, secure data platforms on Google Cloud Platform. You will drive enterprise-grade data ecosystems for analytics, AI/ML, and operations, balancing architecture leadership with hands-on delivery.

Role requires 12–15 years in data architecture, data engineering, and cloud modernization, with strong GCP and Databricks/Spark expertise. We offer a hybrid work model across India and a competitive compensation package.

Qualifications

• 12–15 years of experience in Data Architecture, Data Engineering, Cloud Data Platforms, and Enterprise Data Modernization.
• Strong experience leading large-scale migration and modernization programs.
• Hands-on experience with Google Cloud Platform data services.
• Expertise with Data Lake, Data Warehouse, Lakehouse, and Medallion architecture patterns.

Responsabilités

• Design end-to-end enterprise data migration solutions to GCP.
• Architect and develop batch, streaming, and CDC data pipelines.
• Lead data modernization initiatives across Data Lake, Data Warehouse, Lakehouse.

Connaissances

GCP Data Services

BigQuery

Data Lake

Data Warehouse

Lakehouse

Databricks

Apache Spark

Airflow

Python

SQL

Data Governance

CI/CD

Outils

Dataflow

Pub/Sub

Cloud Composer (Airflow)

Datastream

Dataplex

BigQuery

Description du poste

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.

We are seeking a highly skilled Lead GCP Data Architect with extensive experience in enterprise data migration, modernization, and cloud-native architecture design. The ideal candidate will be responsible for architecting scalable, secure, and cost-efficient data platforms on Google Cloud Platform while actively contributing to implementation activities. This role requires a strong balance of architecture leadership and hands-on engineering, with expertise in designing modern Data Lake, Data Warehouse, and Lakehouse solutions. The candidate will work closely with business and technology stakeholders to develop enterprise-grade data ecosystems that support analytics, reporting, AI/ML, and operational workloads.

• Experience: 12 to 15 Years
• Job Type: Full Time Employment

What You'll Do:

• Design and implement end-to-end enterprise data migration solutions from on-premises and cloud platforms to Google Cloud Platform.
• Evaluate structured, semi-structured, and unstructured data workloads and recommend the most appropriate GCP services.
• Architect and develop batch, streaming, and Change Data Capture (CDC) data pipelines.
• Lead data modernization initiatives involving Data Lake, Data Warehouse, Lakehouse, and Medallion architectures.
• Design scalable and cloud-native data platforms supporting analytics, reporting, AI/ML, and business intelligence workloads.
• Develop enterprise standards for data ingestion, integration, orchestration, monitoring, and observability.
• Define and implement best practices for data quality, governance, security, scalability, and cost optimization.
• Design real-time data processing solutions using Pub/Sub, Dataflow, and event-driven architectures.
• Lead migration assessments, architecture reviews, application modernization workshops, and technical discovery sessions.
• Collaborate with business stakeholders, data engineers, analytics teams, and cloud architects to drive strategic architecture decisions.
• Design and implement enterprise data engineering frameworks and modernization roadmaps.
• Establish metadata management, lineage tracking, governance, and compliance standards.
• Guide engineering teams during implementation and ensure adherence to architecture principles and best practices.
• Drive performance optimization, workload management, and query tuning strategies across cloud data platforms.
• Support CI/CD, Infrastructure as Code (IaC), DevOps automation, and platform engineering initiatives.
• Mentor technical teams and provide guidance on modern data architecture patterns and cloud adoption strategies.

Expertise You'll Bring:

• 12–15 years of experience in Data Architecture, Data Engineering, Cloud Data Platforms, and Enterprise Data Modernization.
• Proven experience designing and implementing enterprise-scale cloud data ecosystems.
• Strong experience leading large-scale migration and modernization programs.
• Expertise across Data Lake, Data Warehouse, Lakehouse, and Medallion architecture patterns.
• Strong consulting and solution architecture capabilities with hands-on implementation experience.
• Strong expertise with Google Cloud Platform data services.
• Hands-on experience with BigQuery, Dataflow, Pub/Sub, Cloud Storage, Datastream, Cloud Composer (Airflow), BigLake, Cloud SQL, Dataplex.
• Ability to recommend appropriate GCP services based on performance, scalability, governance, and cost considerations.
• Experience designing secure, scalable, and highly available GCP-based data platforms.
• Extensive experience with Databricks, Apache Spark, ETL/ELT frameworks, and distributed data processing.
• Strong expertise in designing batch, streaming, and CDC-based ingestion frameworks.
• Hands-on experience building enterprise-scale data pipelines and data integration solutions.
• Strong understanding of data processing optimization and workload management.
• Advanced proficiency in Python and SQL.
• Experience developing scalable data engineering frameworks and pipeline orchestration solutions.
• Strong expertise with Apache Airflow and workflow orchestration.
• Experience supporting enterprise analytics, AI/ML, and reporting platforms.
• Experience migrating workloads from On-Premise Data Centers, AWS, Azure, Hadoop Platforms, Oracle Databases, SQL Server, Legacy Enterprise Platforms.
• Ability to assess migration readiness and define modernization strategies.
• Experience conducting migration assessments, architecture reviews, and technical workshops.
• Strong understanding of data governance, metadata management, lineage tracking, and data quality frameworks.
• Experience implementing enterprise security, compliance, and governance controls.
• Knowledge of cloud security best practices and regulatory requirements.
• Experience with CI/CD pipelines and deployment automation.
• Knowledge of Infrastructure as Code (IaC) and DevOps practices.
• Experience implementing monitoring, observability, and operational excellence frameworks.
• Familiarity with Git-based development and automated deployment processes.
• Strong stakeholder management, presentation, and consulting skills.
• Proven ability to lead architecture discussions and influence strategic business decisions.
• Experience mentoring engineering teams and establishing engineering best practices.
• Ability to balance architecture leadership with hands-on delivery responsibilities.
• Strong analytical, troubleshooting, decision-making, and problem-solving capabilities.
• 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
• 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

“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”