Staff Engineer – Databricks

🔥 44 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

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Smartsheet

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2005

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Smartsheet is a platform designed to manage projects, automate workflows, and build solutions at scale. It offers a wide range of features including automation, team collaboration, dashboards and reporting, and integrations, allowing businesses to streamline their operations. The platform caters to diverse use cases such as project management, IT portfolio management, marketing management, and more, serving various industries including government, finance, and healthcare. Smartsheet also emphasizes security and data protection, ensuring users' data privacy. Additionally, it offers professional services like consulting, training, and implementation support to maximize the platform's capabilities.

📋 Description

• Design and oversee scalable, reliable data platform architecture, including data pipelines, storage solutions, and processing systems • Develop and implement data models, ensure data quality, and establish data governance policies • Build and optimize data pipelines for ingesting, processing, and transforming large datasets • Identify and resolve performance bottlenecks in data pipelines and systems • Evaluate emerging data technologies and explore infrastructure innovation opportunities • Diagnose and resolve complex data-related issues • Implement data security measures and ensure compliance with data governance policies • Protect sensitive data and maintain data platform stability and reliability • Perform other duties as assigned

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field • 10+ years of experience in data engineering or a similar role • Experience with enterprise SaaS software solutions with high availability and scalability • Experience handling large-scale structured and unstructured data from varied data sources • Experience building and maintaining data platform systems including distributed compute, data orchestration, distributed storage, and streaming infrastructure • Experience working with Product Engineering teams to influence designs for data, AI, and analytics use cases • In-depth experience in system design involving large petabytes of data with Databricks Lakehouse • Experience with modern AI/data infrastructure patterns and semantics layers for organizing data for AI agents • Experience with AWS, GCP, Snowflake, Airbyte, and Airflow • Programming experience with Python, SQL, and potentially Java or Scala • Experience with Kubernetes, CI/CD, infrastructure-as-code tools (preferably Terraform), observability, monitoring, and alerting • Experience with solution cost optimization and design-to-cost • Experience driving engineering excellence initiatives • Legally eligible to work in India on an ongoing basis • Fluency in English is required

🏖️ Benefits

• Equal employment opportunity and inclusive work environment • Freedom to explore, push boundaries, and grow beyond the role • Interview accommodations available upon request

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