Cloud Data Architect

• Design and construct a dependable, scalable data infrastructure that uses cutting-edge privacy and security measures to protect data
• Create solutions that are scalable, secure, low latency, resilient, and affordable to enable predictive and prescriptive analytics throughout the enterprise
• Create/Architect frameworks that support unsupervised continuous training models and operationalize machine learning models through serverless architecture
• Inform a variety of internal and external stakeholders of data-supported results
• Be responsible for modernization, converting to a cloud data platform, etc.
• Build pipelines for real-time and batch data ingestion utilizing best practices
• Take part in technical decision-making and work with smart colleagues
• Review code and implementations, and provide insightful criticism to assist others in creating better solutions
• By offering advice based on knowledge and research, you can influence technological direction and technology selection

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 7+ years of relevant experience as a software engineer
• Hands-on experience working in a public cloud environment and on-prem infrastructure
• Specialty in Columnar databases like Redshift Spectrum, Time Series data stores like Apache Pinot, and the AWS cloud infrastructure
• Experience with in-memory, serverless, streaming technologies and orchestration tools such as Spark, Kafka, Airflow, Kubernetes
• Experience in AWS Certified Big Data specialty is nice to have
• Experience designing and implementing AWS big data and analytics solutions in large digital and retail environments is a plus
• Advanced knowledge and experience in online transactional (OLTP) processing and analytical processing (OLAP) databases, data lakes, and schemas
• Experience with AWS Cloud Data Lake technologies and operational experience of Kinesis/Kafka, S3, Glue, and Athena
• Experience with any of the message/file formats: Parquet, Avro, and ORC
• Design and development experience on a streaming service, EMS, MQ, Java, XSD, File Adapter, and ESB-based applications
• Experience in distributed architectures such as Microservices, SOA, RESTful APIs, and data integration architectures.
• Knowledge of Big Data Stack (Spark, spectrum, Flume, Kafka, Kinesis, etc.)
• Understanding Continuous Integration / Continuous Delivery is a plus
• Proficiency in English