Job Description As a Data Architect, you will be responsible for designing, implementing, and managing data solutions across various lines of business. You will play a critical role in developing robust and scalable data architectures that meet the evolving needs of different data projects. The ideal candidate should have a strong background in big data technologies, data engineering, and architecture design. Job Description: - Proven experience as architect and engineering lead in Data & Analytics stream - In-depth understanding of data structure principles and data platforms - Problem-solving attitude, solution mindset with implementation expertise - Working experience on Modern data platforms which involves big data technologies, data management solutions, and data virtualization - Well-versed with the end2end data management philosophies and governance processes - Has pre-sales experience and have involved in RFP/RFI/RFQ processes - Creative problem-solver with strong communication skills - Excellent understanding of traditional and distributed computing paradigm - Should have excellent knowledge of data warehouse / data lake technology and business intelligence concepts. - Should have good knowledge in Relational, No-SQL, Big Data Databases and should be able to write complex SQL queries.

Personal Skills - Good command of the English language. - Strong problem-solving and analytical skills. - Excellent communication and collaboration skills. - Ability to work well in a team environment. - Attention to detail and ability to manage multiple tasks simultaneously. - Strong time management and organizational skills. - Preferred to be TOGAF certified. Technical Skills - Data integration - ETL tools like Talend and Informatica. Ingestion mechanisms like Flume & Kafka. - Data modeling - Dimensional & transactional modeling using RDBMS, NO-SQL and Big Data technologies. - Experience in Snowflake modeling would be an advantage. - Data visualization - Tools like Tableau, Power BI, and Kibana. - Master data management (MDM) - Concepts and expertise in tools like Informatica & Talend MDM. Big data - Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig, and HIVE. - Data processing frameworks - Spark & Spark streaming. - Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase / Cassandra, MongoDB), is required. - Knowledge of various data modelling techniques and should be hands-on with data modeling tools like ERWin, TOAD, PowerDesigner, etc. - Experience in cloud data eco-system - AWS, Azure or GCP. - Demonstrate strong analytical and problem-solving capability. - Good understanding of the data eco-system, both current and future data trends. Education - Bachelor's degree in Computer Science, Software Engineering, or a related field.