Job
Description
Job Title: Data Architect / Data Modeler Experience Level: 8+ Years Location: Hyderabad Job Summary We are seeking a highly experienced Data Architect to join our growing Data & Analytics team. This role demands a strategic thinker and technical expert who can design and build robust, scalable, and efficient data solutions. You will play a critical role in architecting end-to-end data pipelines, designing optimized data models, and delivering business-centric data infrastructure using cutting-edge technologies such as Python, PySpark, SQL, Snowflake , and/or Databricks . The ideal candidate will have a deep understanding of data engineering best practices and a proven track record of enabling data-driven decision-making through innovative and scalable data solutions. Key Responsibilities Architect & Design Scalable Data Pipelines Lead the design and implementation of high-performance, scalable, and maintainable data pipelines that support batch and real-time processing. Data Modeling & Data Architecture Design and implement optimized data models and database schemas to support analytics, reporting, and machine learning use cases. Cloud Data Platforms Develop and manage modern cloud-based data architectures using platforms like Snowflake or Databricks , ensuring performance, security, and cost-efficiency. Data Integration & ETL Development Build robust ETL/ELT workflows to ingest, transform, and provision data from a variety of internal and external sources. Collaboration with Stakeholders Work closely with data analysts, data scientists, product managers, and business leaders to translate business requirements into technical specifications and data solutions. Data Quality & Governance Implement and advocate for best practices in data quality, security, compliance, lineage, and governance. Performance Optimization Optimize data storage and query performance using advanced SQL, partitioning, indexing, caching strategies, and compute resource tuning. Mentorship & Best Practices Provide mentorship to junior engineers, establish coding standards, and contribute to the growth and maturity of the data engineering practice. Required Qualifications Bachelors or Master’s degree in Computer Science, Engineering, Data Science, or a related field. 8+ years of experience in data engineering or related roles. Strong expertise in Python and PySpark for data processing and transformation. Proficient in advanced SQL with a deep understanding of query optimization and performance tuning. Hands-on experience with Snowflake and/or Databricks in a production environment. Experience in designing and implementing data warehouses and data lakes. Solid understanding of distributed computing frameworks, big data ecosystems, and modern data architecture patterns. Experience with CI/CD, version control systems (e.g., Git), and workflow orchestration tools (e.g., Airflow, dbt, etc.). Strong communication skills with the ability to clearly articulate technical concepts to non-technical stakeholders. Role & responsibilities Preferred candidate profile
