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Cloud Data Architect

2 months ago

Jersey City, New Jersey, United States Tiger Analytics Full time
Job Title: Cloud Data Architect

Tiger Analytics is a leading analytics consulting firm that helps Fortune 100 companies unlock business value from data. Our team of experts brings deep expertise in Data Science, Machine Learning, and AI to deliver innovative solutions.

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.

Key Responsibilities:

  • Mentor and support Data Engineers to ensure they have the necessary skills and knowledge to deliver high-quality solutions.
  • Review and provide feedback on Data Engineer work to ensure it meets our high standards.
  • Work with the DevOps and MLE teams 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 with onsite and offshore leadership to ensure regular updates and alignment.

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.

Benefits:

Tiger Analytics offers significant career development opportunities 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.