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.

• 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.

• 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 Postgre SQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase / Cassandra, Mongo DB), is required.
• Knowledge of various data modelling techniques and should be hands-on with data modeling tools like ERWin, TOAD, Power Designer, 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.