Job Summary: The Senior Cloud Data Architect will be responsible for Designing and optimizing data infrastructure and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. They will design and lead the implementation of breed AWS data solutions based on the data volume, latency, availability, security, and governance requirements. The ideal candidate must be self-directed and comfortable supporting multiple data solution implementations and client presales/sales scoping opportunities. The right candidate will be excited by the prospect of optimizing or even re-designing existing data architecture to support next generation of products and data initiatives. The candidate is expected to lead large data projects and teams across multiple client engagements. Travel Requirements: This position does not require any travel Job Responsibilities:

• Assist in Presales and client problem definition phase of an Azure data engagement. Work closely with the presales engineers to design the best-in-class Azure data solution and scoping to satisfy client requirements.

• Ability to handle multiple client engagements in different stages of the implementation lifecycle.

• Provide hands-on guidance, mentoring, and validation for the project teams during the implementation of the client engagement.

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

  Required Skills:

• Demonstrated work experience with handling streaming/time-series data using AWS Kinesis/AWS-managed Kafka

• ETL development experience in SQL, Python, Java/Scala

• Implementation experience of self-service data layer using data mesh/ data fabric or other architectures for data sharing and governance

• Familiarity with Lakehouse architectures

• Experience with other dashboarding solutions like Tableau, Qlik, and/or similar programs is a plus.

• Excellent verbal and written communication skills to effectively interact with both technical and executive stakeholders on client engagements.

  Additional Desired Skills:

• Working experience with Snowflake or Databricks is a plus

• Experience on Azure and GCP data stack is definitely a plus

  Education and Experience:

• Bachelor's degree or equivalent experience and/or military experience

• Over all 10+ years of experience in Data Engineering

• 10+ years of advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

  5+ Strong work experience on AWS Data Analytics stack - EMR, Redshift, Kinesis/managed