Job Description

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.

Responsibilities:

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.

Requirements:

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.

Quality Compliance

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.