Senior Data Architect

Senior Cloud and Data Architect responsible for designing and delivering data and cloud solutions that meet client needs, ensuring resiliency, performance, and scalable architecture., * 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies, * Prepare accurate database design and architecture reports for management and executive teams

• Oversee the migration of data from legacy systems to new solutions
• Educate staff through training and individual support
• Offer support by responding to system problems in a timely manner

We are looking for a Senior Cloud and Data Architect with extensive experience in DWBI, Big Data, and Cloud Technologies to lead and design innovative solutions for our clients., * Implementation experience and hands on experience in either of the 2 Cloud technologies - Azure, AWS, GCP, Snowflake, Databricks

• Hands on experience on at least 2 hyperscalers (GCP/AWS/Azure) and specifically in Big Data processing services (Apache Spark, Beam or equivalent)
• In-depth knowledge of technologies like BigQuery/Redshift/Synapse/Pub/Sub/Kinesis/MQ/Event Hubs, Kafka, Dataflow/Airflow/ADF, etc.
• Excellent consulting experience and ability to design and build solutions, actively contribute to RfP responses
• Ability to be a single point of contact (SPOC) for all technical discussions across industry groups
• Excellent design experience with entrepreneurship skills to own and lead solutions for clients
• Ability to define monitoring, alerting, and deployment strategies for various services
• Experience providing solutions for resiliency, failover, and monitoring
• Good working knowledge of Jenkins, Terraform, StackDriver or other DevOps tools
• Design and implement effective database solutions and models to store and retrieve data
• Assess database structural necessities by evaluating client operations, applications, and programming
• Articulate and write POVs on new and old technologies
• Recommend solutions to improve new and existing database systems
• Assess data implementation procedures to ensure regulatory compliance, * Strong knowledge of database structures and data mining
• Knowledge of systems development lifecycle, project management approaches, requirements, design and testing techniques
• Proficiency in data modeling and design, including SQL development and database administration
• Ability to implement data management and reporting technologies, as well as Columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics
• Excellent organizational and analytical abilities
• Good written and verbal communication skills
• A minimum of 5 years of experience in a similar role
• Ability to lead and mentor architects

Required Skills

• Mandatory Skills [at least 2 Hyperscalers]
• GCP, AWS, Azure, Big Data, Apache Spark/Beam on BigQuery/Redshift/Synapse, Pub/Sub/Kinesis/MQ/Event Hubs, Kafka, Dataflow/Airflow/ADF