Senior AWS Cloud Data Architect

Job Description

Job Overview
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 implementation of best 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.
Responsibilities for Senior Cloud Data Architect

• 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 implementation lifecycle.
• Provide hands on guidance, mentoring and validation for the project teams during 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.

Qualifications for Senior Cloud Data Architect

• 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.
• Implementation experience of self service data layer using data mesh/ data fabric or other architectures for data sharing and governance
• Familiarity with Lakehouse architectures & platforms like Databricks
• 5+ Strong work experience on AWS Data Analytics stack - EMR, Redshift, Kinesis/managed Kafka, Glue
• Demonstrated work experience with handling streaming/timeseries data using AWS Kinesis/AWS managed Kafka
• ETL development experience in SQL, Python, Java/Scala
• 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.
• Working experience with Snowflake or Databricks is a plus
• Experience on Azure and GCP data stack is definitely a plus