Manager, Data Engineering

🕒 March 12

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Smartsheet

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2005

☁️ SaaS

⚡ Productivity

🤝 B2B

SaaS • Productivity • B2B

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

• Focus on team members and coaching them to play to their strengths, grow and deliver peak performance • Lead and mentor a team of data engineers and operations specialists. • Define and govern solutions for data platform ensuring scalability, cost-efficiency, and reliability • Develop and maintain data platform, including CI/CD/CT (Continuous Integration/Continuous Delivery/Continuous Training) pipelines • Delegate and harness the aggregate strength of your team. • Focuses on individual and team needs to foster a positive culture consistent with Smartsheet values. • Actively helps individuals and the overall team to set priorities and focus on delivery of commitments • Review team's designs and provide feedback on deployment safety, resilience, scale, performance, and security • Lead and facilitate cross-team interactions, communication, and dependencies • Ensure all changes are fully tested before being deployed • Ensure deployment plans are well-considered and include appropriate scalability and load tests • Facilitate feedback and discussions with Product and Engineering teams on customer needs, user experience, implementation efficiency, and performance • Work with stakeholders to align data platform with business strategies. • Ensure all AI applications adhere to regulatory compliance, security, and ethical guidelines • Drive Engineering and Operational excellence initiatives • Perform other duties as assigned

🎯 Requirements

• Legally eligible to work in India on an ongoing basis • Enterprise SaaS software solutions with high availability and scalability • Experience building teams through recruiting and retention • Experience in Leading and Mentoring a team of Data engineers and DevOps engineers. • Solution handling large scale structured and unstructured data from varied data sources • Experience in building and maintaining Data platform systems ensuring scalability, reliability, efficiency and security • Working with Product engineering team to influence designs with data, AI and analytics use cases in mind • Databricks Lakehouse , Medallion Architecture, Unity Catalog, Snowflake • Experience in Data Governance ensuring data quality, freshness, integrity • Cloud Platforms: Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP). Experience in AWS hosted data platform is preferable • Programming languages like Python and SQL • Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting • Solution Cost Optimisations and design to cost

🏖️ Benefits

• Health insurance • Professional development opportunities