出海雷达

数据运营工程师IV

DataOps Engineer IV

开发工程限定地区(需当地身份)
公司Mitratech
薪资未公开
工作地点India
地域资格限定地区(需当地身份)
时区要求日间重叠约 7 小时,基本正常作息
用工类型permanent
发布时间17 天前
数据来源4dayweek.io
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注意地域限制:该职位明确限定在 India 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

At Mitratech, we are a team of technocrats focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available.

For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.

As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!

### **About the Role**

We're looking for a Senior Data Analytics Engineer to own and operate our Snowflake data platform. This role supports the data pipelines that feed Snowflake, which in turn power data and reporting presented directly to our customers within our products. The role is primarily focused on **Snowflake platform administration and data engineering** — account management, performance/cost optimization, data pipelines (dbt, Fivetran), and the overall health of the platform — with security, access governance, and cloud/DevOps responsibilities as a supporting part of the job.

You'll work closely with platform and product engineering teams and cloud operations to ensure the pipelines and Snowflake environment behind our customer-facing product data are scalable, performant, and reliable.

### **What You'll Do**

**Snowflake Platform & Data Engineering (primary focus)**

- Administer and maintain multiple Snowflake accounts, including account-level configuration, org structure, and cross-account governance
- Own Snowflake performance and cost: warehouse sizing, resource monitors, query tuning, and storage optimization
- Manage Snowflake platform changes via infrastructure-as-code where applicable (e.g., Terraform, Snowflake CLI/SQL scripts) and change management processes
- Support and maintain Fivetran connectors for data ingestion from SaaS applications, databases, and APIs
- Support and lightly maintain dbt models (staging, intermediate, mart layers) that feed data into product-facing Snowflake datasets
- Troubleshoot pipeline and transformation issues, including those that intersect with platform-level access or performance, to protect the reliability of data presented to customers
- Integrate Snowflake and pipeline health (job failures, data freshness, query performance) into the team's observability stack for centralized monitoring and alerting
- Contribute to runbooks and postmortems for platform and pipeline incidents

**Security, Access & Cloud/DevOps (supporting focus)**

- Own Snowflake security: role-based access control (RBAC) design, object/data-level permissions, network policies, and data masking
- Manage user access lifecycle — provisioning, de-provisioning, role assignment, and periodic access reviews
- Configure and maintain SSO integration for Snowflake authentication via **Microsoft Entra ID**, working with the identity/security team as needed
- Apply general cloud SRE/DevOps practices to the data platform — mainly **AWS**, with some exposure to **Azure** and **OCI** — covering IAM, networking/connectivity, monitoring integration, and infrastructure-as-code
- Own access certification and periodic access review cycles for Snowflake, producing evidence for **ISO 27001** and **SOC 2 Type II** audits where the underlying product requires it
- Maintain audit logging retention and usage/query history analysis to support security investigations and compliance requirements
- Partner with the compliance/security team on control evidence, remediation tracking, and audit responses specific to the data platform

### **What You'll Bring**

- 8+ years of experience in data engineering or data platform administration, with hands-on production experience running **Snowflake** (account management, performance tuning, cost management)
- Working knowledge of **dbt** and **Fivetran** (or comparable ELT tools) for building and troubleshooting data pipelines
- Strong SQL skills and solid understanding of data warehousing concepts
- Working knowledge of Git-based version control and infrastructure-as-code practices
- Comfort integrating platform/pipeline monitoring into a centralized observability tool
- General cloud SRE/DevOps experience, mainly **AWS** with some exposure to **Azure** and **OCI**, applied to a data platform (IAM, networking, monitoring, automation)
- Practical experience with **user access management** and SSO configuration for a SaaS/cloud platform (Entra ID/Azure AD experience a plus)
- Familiarity with audit/compliance processes (e.g., ISO 27001, SOC 2) — access reviews, evidence gathering, control documentation
- Good communication skills — comfortable working with product/platform engineering and security stakeholders

### **Nice to Have**

- Experience with **Amazon QuickSight** or similar BI/visualization tools
- Experience with Terraform or other IaC tools for managing cloud/data platform resources
- Experience with Python or equivalent for automation/scripting
- Experience working in a multi-cloud environment (AWS primary, with Azure and/or OCI)
- SnowPro Core or Administrator certification
- Background or experience with GRC, compliance, or security-conscious SaaS environments

**_We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status._**

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