Data Lake Integration Architect

Job description

**Job Description** **About Persistent** 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. Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. **About Position** We are looking for a Data Lake Integration Architect to design and build secure, scalable data pipelines and integrations that feed our security data lake. - **Role: Data Lake Integration Architect** - **Location: Pune** - **Experience: Between 8 to 12 Years** - **Job Type: Full Time Employment** **What You’ll Do** - Architect and build secure data lake and data pipeline solutions for security analytics. - Design ETL/ELT integrations across diverse security and enterprise data sources. - Ensure data quality, normalization, governance, and security across pipelines. - Optimize data storage, performance, and cost on cloud data platforms. - Collaborate with detection and analytics teams on data models and use cases. - Document data architecture, lineage, and integration patterns. **Expertise You’ll Bring** - Between 8 to 12 years of experience in security data lake and integration architecture. - Strong experience designing data lake and big-data architectures. - Hands-on with ETL/ELT tooling, streaming, and data pipeline engineering. - Experience with cloud data platforms (AWS, Azure, GCP, Databricks, Snowflake). - Knowledge of data governance, security, and normalization (e.g., to security schemas). - Proficiency in SQL and a programming language (Python/Scala). - Excellent design, problem-solving, and documentation skills. **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.”*** **1** Open Positions **Data Lake / Big Data Architecture, ETL & Data Pipeline Engineering, Cloud Data Platforms** Skills Required **PUNE** Location **Data Lake / Big Data Architecture, ETL & Data Pipeline Engineering, Cloud Data Platforms** Desirable Skills **8 to 12 years** Years Of Exp **179371** Job Code