Data Solution Architect

Job Title: Data Solution Architect

Skills: DWBI, Big Data, Azure, AWS, GCP, Snowflake, Databricks, 2 Hyper scalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent)

Experience: 16-18+ Years

Location: Princeton, New Jersey

Job Type: Full Time

We need the below experience

• Experience in AWS, Azure led Data management solutions
• Snowflake, Databricks, Lakehouse architecture
• Consumption modernization and reporting tools like Power BI
• Solution architecture, RFP and client presentations
• Certified in one or more hyperscale's
• Data modeling experience and understanding different data formats

• 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies
• Implementation experience and hands on experience in either of the 2 Cloud technologies - Azure, AWS, GCP, Snowflake, Databricks
• Must Have Hands on experience on at least 2 Hyper scalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent).
• In-depth knowledge on key technologies like Big Query/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 response.
• Ability to be a SPOC for all technical discussions across industry groups.
• Excellent design experience, with entrepreneurship skills to own and lead solutions for clients.
• Excellent ETL skills, Data Modeling Skills
• Excellent communication skills
• Ability to define the monitoring, alerting, deployment strategies for various services.
• Experience providing solutions for resiliency, fail over, monitoring etc.
• Good to have working knowledge of Jenkins, Terraform, Stack Driver or any other DevOps tools.
• Design and implement effective database solutions and models to store and retrieve data.
• Examine and identify database structural necessities by evaluating client operations, applications, and programming.
• Ability to articulate and write POVs on new and old technologies.
• Ability to recommend solutions to improve new and existing database systems.
• Assess data implementation procedures to ensure they comply with internal and external regulations.
• Install and organize information systems to guarantee functionality.
• 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 members through training and individual support.
• Offer support by responding to system problems in a timely manner.
• Strong knowledge of database structure systems and data mining.
• Knowledge of systems development, including system development life cycle, project management approaches and requirements, design and testing techniques
• Proficiency in data modeling and design, including SQL development and database administration.
• Ability to implement common data management and reporting technologies, as well as the Columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics.
• Excellent organizational and analytical abilities.
• Outstanding problem solver.
• Good written and verbal communication skills.
• A minimum of 5 years' experience in a similar role.
• Ability to lead and mentor architects.
• Mandatory Skills [at least 2 Hyper scalers]
• GCP, AWS, Azure, Big data, Apache spark, beam on Big Query/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF
• Desirable Skills
• Designing Databricks based solutions for Azure/AWS, Jenkins, Terraform, Stack Driver or any other DevOps tools.