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Cloud Data Architect

1 month ago

Jersey City, New Jersey, United States Tiger Analytics Full time
Job Opportunity

Tiger Analytics is a leading analytics consulting firm that empowers Fortune 100 companies to unlock business value from data. Our team of experts brings deep expertise in Data Science, Machine Learning, and AI, recognized by market research firms like Forrester and Gartner.

We are seeking a highly skilled Cloud Data Architect to join our team. As a key member of our team, you will be responsible for mentoring and supporting client-facing Data Engineers, reviewing their work, and establishing best practices and frameworks to improve productivity and client satisfaction.

  • Mentorship and Solution Support
    • Review data engineer work and proactively establish the adoption of best practices and frameworks that improve productivity and client satisfaction
    • Work with the DevOps, MLE team to onboard and productionize Data Science models at scale
    • Implement and manage production management processes around data ingestion, transformation, coding utilities, storage, reporting, and other data integration points
    • Coordinate between onsite and offshore leadership for regular updates
  • Client Engagement
    • Review and provide the best solutions on existing or new architecture requirements
    • Recommend strategies to improve resiliency, security, and optimize costs
    • Analyze, architect, design, and actively develop analytics frameworks, data lakes, and other cloud-based data solutions
    • Design and develop scalable data ingestion frameworks to transform various datasets, capture metadata, lineage, and implement data quality

Requirements

  • Bachelor's degree in Computer Science or relevant experience in Information Systems
  • 10 years of experience in the IT field with hands-on experience in system administration and automation
  • 3-5 years of strong hands-on experience with AWS or another cloud in building a Data and Analytics platform on the cloud
  • 1+ years of experience with deploying services on Kubernetes on-prem or on-cloud
  • 3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala)
  • 1-2 years of experience with Cloud data warehouse (Redshift, Snowflake, BigQuery)
  • Solid understanding of building Data Lakes on Cloud environments - Data Integration, Data Pipeline, Data compute, ML Models and Storage, etc.
  • Solid knowledge of and experience with Big data and Stream processing frameworks - Spark, Flink, or other
  • Knowledge of delta lake or similar technology
  • Exposure to operationalizing ML models @ scale on Cloud
  • Solid understanding of DevSecOps and cloud security concepts and how to mitigate security risks in the cloud
  • Must understand the Scrum Agile methodology and have worked on a Scrum team
  • Knowledge of SQL, non-relational (NoSQL) databases, and Object Stores
  • Good experience working on an onsite/offshore model
  • Knowledge of networking, firewalls, load balancers, etc.
  • AWS Professional Architect Certification is preferred
  • Exceptional communication skills and the ability to communicate appropriately with executives and technical teams

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.