A Data Lake Architect designs, builds, and manages scalable, secure cloud-based data lake infrastructures (e.g., AWS, Azure) to support ingestion, storage, and processing of large-scale structured/unstructured data. They define data models, implement ETL/ELT pipelines using Spark/Kafka, ensure data governance, and optimize performance for AI/ML and analytics workloads. Key Responsibilities Design & Architecture: Create blueprints for high-performance, scalable data lakes, choosing appropriate storage (e.g., S3, ADLS) and processing engines. Data Ingestion & Pipeline: Design batch and real-time streaming pipelines (using Apache Spark, Kafka) to integrate data from diverse sources. Data Governance & Security: Establish data access policies, security protocols, data quality frameworks, and data lineage. Optimization: Optimize data storage formats (e.g., Parquet, Delta Lake) and query performance for analytics and AI/ML use cases. Collaboration: Work with engineering, security, and business teams to align data platforms with business objectives. Experience: 8–12+ years in data engineering or data architecture. Cloud Platforms: Deep expertise in AWS (S3, Glue, EMR), Azure (ADLS, Databricks), or Google Cloud Platform. Big Data Technologies: Proficiency in Spark (PySpark/Scala), Kafka, Airflow, and SQL. Data Modeling: Strong understanding of data modeling techniques (Data Vault, Star Schema). Education: Bachelor’s or Master’s degree in Computer Science or a related field. Experience with Modern Data Warehouse solutions (Snowflake, Databricks). Knowledge of AI/ML workflows and model deployment.

About Quickhyre AI

QuickHyre AI is an online job portal and HRMS software platform for hiring and workforce management, trusted by over 10 million active users. It connects freshers and experienced professionals across all career levels with verified job opportunities, while enabling companies to hire, onboard, and manage employees through a single system. Candidates use QuickHyre AI to search and apply for jobs across entry-level, mid-level, and senior roles, including internships and contract positions across tech and non-tech domains. Employers use QuickHyre AI as a hiring platform, applicant tracking system (ATS), and HRMS to post jobs, screen candidates, manage applications, onboard hires, and maintain employee records. Built for startups, growing companies, and enterprises, QuickHyre AI reduces irrelevant applications, improves hiring efficiency, and simplifies HR operations. By combining job discovery, online recruitment, and HR management software, QuickHyre AI supports end-to-end talent acquisition and workforce administration at scale.