Cloud Data Architect

• Assess and create prototypes of new concepts and technologies
• Develop essential capabilities that can be handed off to operational development teams
• Analyze complex problems and actively participate in enterprise technology design decisions
• Take ownership of modernizing, migrating, and transforming the cloud data platform
• Safeguard data by designing and building reliable and scalable data infrastructure with leading privacy and security techniques
• Architect solutions that are scalable, secure, low latency, resilient and cost-effective to enable predictive and prescriptive analytics across the organization
• Design and develop frameworks that can effectively operationalize ML models through serverless architecture while supporting unsupervised continuous training models
• Take ownership of scaling the company data models including Tableau, DynamoDB, and Kibana
• Analyze data to share data-backed findings with technical and non-technical internal and external stakeholders
• Use data modeling best practices to build frameworks for data ingestion pipelines - both real-time and batch, ETL/ELT processes, and effectively hand them off to data engineers
• Collaborate with peers and actively participate in critical technical decisions
• Review code, and code implementations to share constructive feedback
• Utilize your experience and research to make recommendations that can drive technology direction and choices of technologies

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 7+ years of relevant experience as a Cloud Data Architect
• Experience working directly with enterprise data solutions (7+ years)
• Practical exposure to a public cloud environment and on-prem infrastructure
• Highly skilled in Columnar Databases such as - Redshift Spectrum
• Proficient with Time Series data stores like Apache Pinot
• Significant understanding of AWS cloud infrastructure
• Demonstrable experience with in-memory, serverless, streaming technologies and orchestration tools such as Kubernetes, Airflow, Spark, and Kafka
• Hands-on experience implementing IT platforms (7+ years)
• AWS Certification with Big Data would be highly desirable
• Previous experience implementing and designing AWS analytics and big data solutions in a large digital and retail environment would be preferred
• Thorough understanding of and experience in online transactional processing (OLTP) and online transactional analytical processing (OLAP) databases, data lakes, and schemas
• Hands-on experience with AWS Cloud Data Lake Technologies and operational experience with Kinesis/Kafka, S3, Glue, and Athena
• Familiarity with Parquet, Avro, or ORC message/file formats
• Experience designing and developing Streaming Services, EMS, MQ, Java, XSD, File Adapters, and ESB-based applications
• Strong understanding of distributed architectures such as Microservices, SOA, RESTful APIs, and data integration architectures
• Experience with Big Data Stack- Spark, spectrum, Flume, Kafka, Kinesis, etc
• Understanding of modern Data streaming technologies like Kafka, SQS/SNS queuing, etc
• Familiarity with Columnar databases like Redshift, Snowflake, Firebolt, etc
• Knowledge of commonly used AWS services such as- S3, Lambda, Redshift, Glue, and EC2
• Expertise in Python, pySpark, or similar programming languages
• Understanding of BI tools like Tableau, Domo, and MicroStrategy
• Familiarity with CI/CD concepts
• Excellent English communication skills