Data Solution Architect

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.