Enterprise Data Architect Lead

1 month ago

Bengaluru, Karnataka, India Sumo Logic Full time

Company Overview

We are Sumo Logic, a leading cloud-native, machine-based learning monitoring and observability platform. We help organizations around the world build, run, and improve their digital business through actionable insights and real-time visibility across all teams and systems.

Salary

The estimated salary for this position is between $180,000 to $250,000 per year, depending on experience and qualifications.

Job Description

We are seeking an experienced Senior Data Engineer to lead our data architecture efforts. As a Senior Data Engineer, you will design and implement complex enterprise data solutions that support mid-to-large size organizations.

You will work to improve existing data warehouse systems, solutions, and processes through architectural reviews and design enhancement initiatives. Experience in devops methodologies and practices as applied to infrastructure, cloud, and business applications is required.

You will improve systems to provide strict data compliance adherence, security guardrails, and cost-optimization. Lead and contribute to the re-architecting of data solutions and processes for more streamlined, scalable, reliable, and resilient implementations.

Design and manage data schemas and the flow of data through corporate systems and applications to ensure compliance, data integrity, and data security.

Required Skills and Qualifications

To be successful in this role, you will need:

  • 4-6 years of industry experience with a proven track record of ownership and delivery
  • Experience developing scalable, secure, and resilient data architectures and implementations
  • Extensive experience in AWS data solution and infrastructure services such as S3, Managed Airflow, Glue, ECS and EMR
  • Experience working with data warehouses (Amazon Redshift, Snowflake, Databricks, Cloudera desired)
  • Experience with Python scripting, PySpark, and other data analytics frameworks or tools
  • Experience working with the data ingestion, data storage, and data consumption layers
  • Experience with SQL and data schemas
  • Experience with both structured and unstructured databases
  • Experience with docker and container registries such as ECR
  • Hands-on infrastructure as code experience in Terraform as well as strong working knowledge of git and GitHub
  • Experience with writing business application processes and integrations at an enterprise level (Python preferred)
  • Excellent verbal and written communication skills
  • Experience building robust and well-architected designs for enterprise scale data architectures and workflows
  • Experience and comfort with an on-call schedule for enterprise systems

Benefits

We offer a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, paid time off, and opportunities for professional growth and development.

Others

If you have a passion for continuous learning and deep technological curiosity, we encourage you to apply. Experience in the following specific technologies is a plus: Tableau, Looker, and AWS Quicksight, Big Data services such as HDFS, Spark, Hive, HBase, Yarn, and Oozie, Data concepts such as model training, data cleaning, ETL, and data orchestration, AI/ML experience in relation to data and business application solutions.

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