Data Analytics Cloud Architect

Data Analytics Cloud Architect

Location: Seattle, WA / St. Louis, MO / Plano, TX / Dallas, TX / Houston, TX

Duration: Fulltime

Job Description:

12+ years Must Have Technical/Functional Skills

12+ years of experience in enterprise architecture with a focus on cloud data platforms

Experience in handling multi-cloud platforms (either AWS/Azure, having experience on both will be good)

Hands-on experience in architecture design, solution expertise and implementations

5+ Years of hand-on experience working on AWS Data and Analytics tool stack (S3, Glue, Athena, Lake Formation, EMR, Redshift, Kinesis, Open Search and others) or Databricks to build repeatable and reusable frameworks for building Data and AI Solutions

Experience with SaaS data platforms – Databricks/Snowflake on AWS

Exposure in monitoring and optimizing cloud cost, governance and security

5+ years of experience designing and implementing scalable computing infrastructure for data solutions, including cloud architectures (AWS, Azure, Google Cloud)

5+ Years of Experience in Data Warehouses, Data Lakes and Data Modelling techniques using Erwin

5+ years of experience with data engineering and data pipelines for on-prem cloud, hybrid data models and data warehouses

5+ years of coding experience with Python, Spark, R, SQL or other equivalent programming languages etc

3+ Years of experience implementing Data quality and observability solutions across the enterprise

Proficiency in Databricks for data engineering and analytics workloads

Experience in data security and user access model

Performance optimization of EMR to fine tune the Spark configurations and runtime

Strong knowledge of Cloud centric architecture and data sharing capabilities

Preferred Qualifications:

Bachelor’s degree or higher

AWS Certified Solutions Architect or equivalent certifications

Third party integration of data tools related to lineage, ontology, etc

3+ years of experience in Data Science, Statistics, Machine Learning and GenAI

3+ Years of experience implementing Near Real time and Streaming IoT solutions

3+ Years of experience in application integration, APIs and Microservices

Experience working on Agile projects and Agile methodology in general

Familiarity with next gen enterprise cloud architecture

Knowledge of DevOps practices and CI/CD pipelines for data workloads

Experience with data cataloging, lineage and metadata management tools

Well-versed with the latest trends and best practices in Cloud and Data architecture tools and technologies

Manufacturing domain experience