Data Architect- Analytics

We are looking for an experienced Data Architect – Analytics to design and deliver scalable, cloud-based data solutions. You will lead data architecture, build high-performance pipelines, and drive innovation in big data engineering across domains. Strong expertise in distributed systems, cloud platforms, and advanced analytics is essential to transform data into actionable insights.

• Front face customer for designing data solutions.
• Build solutions and systems to manage data and analytics workload.
• Improve reliability, quality, and time-to-market of our suite of software solutions.
• Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating for continual improvement.
• Provide primary architectural and engineering support for multiple large-scale distributed software applications.

• Bachelor’s degree (or equivalent) in computer science or related discipline.
• Ability to program (structured and OOP) using one or more high-level languages, such as Python, Java, Scala or .net.
• 15 years of experience in data engineering. Formative years may be in development projects in Datawarehouse, DataMart’s, ETL, data modelling, data rich middleware’s, and distributed computing solutions.
• Last 5 years need to be in big data engineering projects involving Hadoop, HBase, Kafka, Hive, Spark, Spark streaming, in-memory database systems, column-oriented database systems and document databases (NoSQL and SQL).
• Should have programmed extensively in python, Scala, java.
• Good hands-on experience on open-source kernels and understand distributed compute, distributed storage, serverless and extremely scalable architectures.
• Should have managed an industry standard program in cloud building data pipelines, data migrations or analytics pipelines.
• Exposure to databricks, Azure Datafactory, ADLS, AWS Redshift, AWS S3, Glue, Snowflake, Apache airflow is added advantage.
• Should have worked as software solution provider at the level of solution architect, technology evangelist in medium to large ISV.
• Direct experience of at least 3 years in design and delivery of bigdata solutions in BFSI vertical.
• Experience in the OTT/BFSI/Retail domain and familiarity with OTT data constructs would be a big plus.
• Experience with distributed storage technologies such as NFS, HDFS, Ceph, and Amazon S3, as well as dynamic resource management frameworks (Apache Kafka, Kubernetes, Yarn).
• Proactive approach to identifying problems, performance bottlenecks, and areas for improvement.
• Expert understanding of data systems and platform specially, data pipeline, data lake, data model and warehousing.
• Exposure to Snowflake and data bricks are must. Hands-on experience with Amazon Web Services.

Compliance to Quality and Information Security is critical in ensuring the integrity, confidentiality, availability of data and the consistent delivery of high-quality services are an important aspect of hiring for this position.