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Smartsheet
Smartsheet

Principal SE - Big Data Platform

职能数据工程
级别Staff+
地点Bengaluru, India
方式现场办公
类型全职
发布2个月前
立即申请

For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.

Our India Global Capability Center isn't just supporting global operations—we’re leading global innovation. After scaling rapidly into a best-in-class hub, we deliver the product innovation and enterprise capabilities that accelerate our global growth, profitability, and scale. As we expand Smartsheet India, we’re searching for **Principal Data & AI/ML Ops Engineers,**who crave variety and ownership. You’ll have the opportunity to work across multiple teams and disciplines, building a versatile skillset while solving the complex challenges of a global platform.

You Will:

  • Data Architecture and Design: Designing and overseeing the architecture of scalable and reliable data platforms, including data pipelines, storage solutions, and processing systems

  • Data Modelling and Management:Developing and implementing data models, ensuring data quality, and establishing data governance policies

  • Data Pipeline Development: Building and optimising data pipelines for ingesting, processing, and transforming large datasets from various sources

  • Performance Optimisation: Identifying and resolving performance bottlenecks in data pipelines and systems, ensuring efficient data retrieval and processing

  • Technology Evaluation and Innovation: Staying abreast of emerging data technologies and exploring opportunities for innovation to improve the organisation’s data infrastructure

  • Troubleshooting and Problem Solving: Diagnosing and resolving complex data-related issues, ensuring the stability and reliability of the data platform

  • Data Security and Compliance: Implementing data security measures, ensuring compliance with data governance policies, and protecting sensitive data

  • Perform other duties as assigned

You Have:

  • Enterprise SaaS software solutions with high availability and scalability

  • Solution handling large scale structured and unstructured data from varied data sources

  • Experience in building and maintaining data platform systems such as distributed compute, data orchestration, distributed storage, streaming infrastructure ensuring scalability, reliability, efficiency and security

  • Working with Product engineering team to influence designs with data, AI and analytics use cases in mind

  • In depth experience in System design involving large Petabytes of data with Databricks Lakehouse

  • Experience in modern AI/Data infrastructure patterns, Semantics layer Organizing data for AI agents (metadata, context)

  • AI/MLOps workflows on Databricks , MLFlow, Mosaic AI Agent Framework, Unity Catalog, Vector Search, Knowledge Graph

  • Knowledge of AI/ML frameworks like Lang Chain, Lang Graph for AI/ML Ops pipeline integration

  • 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, SQL, and potentially Java or Scala

  • Exposure to Snowflake and Data pipeline frameworks like Airbyte/Airflow is preferable

  • Modern software engineering practices like Kubernetes, CI/CD, IAC tools (Preferably Terraform), Observability, monitoring and alerting

  • Solution Cost Optimisations and design to cost

  • Driving engineering excellence initiatives

  • Legally eligible to work in India on an ongoing basis

Get to Know Us:

At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.

Equal Opportunity Employer:

Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.

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关于Smartsheet

Smartsheet

Smartsheet provides cloud-based work management and collaboration software that allows teams to organize, track, and automate work processes. The platform combines spreadsheet functionality with project management, workflow automation, and business intelligence capabilities.

1,001-5,000

员工数

Bellevue

总部位置

$4.5B

企业估值

评价

10条评价

3.8

10条评价

工作生活平衡

3.2

薪酬

2.5

企业文化

4.1

职业发展

4.0

管理层

3.0

72%

推荐率

优点

Flexible hours/schedule

Supportive management and team

Growth and learning opportunities

缺点

Heavy workload and high expectations

Compensation could be better

Limited remote work options

薪资范围

19个数据点

Mid/L4

Senior/L5

Mid/L4 · Data Scientist II

2份报告

$154,000

年薪总额

基本工资

$118,800

股票

-

奖金

-

$154,000

$154,000

面试评价

2条评价

难度

3.0

/ 5

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Offer

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit