Principal DataOps Engineer

Milestone Technologies, Inc.; Mumbai; Remote; INR 4,000,000 - 9,000,000; Full time

Job summary

Milestone Technologies, Inc. is seeking a senior Tech Leader to shape DataOps/DevOps strategy for a global cloud data platform. You’ll define long-term architecture, set execution standards, govern IaC with Terraform, and mentor senior engineers across multiple teams.

You’ll drive knowledge management, incident resilience, and governance, coordinating with VP/SVP stakeholders to align technical delivery with business objectives in a fast‑growing analytics environment.

Qualifications

• 12+ years of professional technical leadership experience in DataOps, DevOps, cloud automation, program management, or platform engineering tracks, operating prominently within an enterprise data and analytics context.
• Proven track record of successfully managing and scaling a suite of interrelated data platform products, cluster configurations, and CI/CD networks at an enterprise level.
• Exceptional executive leadership presence with a history of influencing VP and SVP-level stakeholders to drive technical consensus and cross-functional organizational pivots.

Responsibilities

• Technical Delivery: Define the long-term vision and architecture blueprints for an enterprise cloud infrastructure portfolio; govern IaC standards and CI/CD pipelines; mentor senior engineers; establish foundational infrastructure modules.
• Knowledge Management: Establish knowledge synchronization standards and Documentation as Code paradigms across global DevOps and Analytics Engineering teams.
• Incident Response & Operational Resilience: Mitigate infra risks, design high-scale data reliability parameters, and ensure platform uptime during hyper-growth.
• Agile Operational Facilitation: Sponsor cross-functional reviews and drive multi-team infrastructure transformations; manage platform migrations and resource planning.
• ED&A Methodologies: Embed DataOps and Active Data Governance into master software delivery pipelines.
• AI Productivity: Build AI-first workflows and agent networks to automate code refactoring, system validation, and portfolio tracking.

Skills

DataOps

DevOps

Cloud automation

CI/CD

Leadership

Stakeholder management

Education

none

Tools

Terraform

GitHub Actions

Snowflake

Fivetran

Sigma

Atlan

Job description

W2 ONLY

No C2C assistance - Corp agencies, please do not call.

6-months + project

While this is 100% remote, candidates should be willing to support stakeholders located in both the EST and PST time zones.

We are looking for candidates with 10+ years of experience supporting DevOps and/or DataOps.

Key Responsibilities

• Technical Delivery: Serve as the preeminent technical authority defining the long-term vision, core execution standards, and multi-quarter architecture blueprints for a mission-critical enterprise cloud infrastructure portfolio. Govern global platform administration paradigms and Infrastructure as Code (Terraform) architecture standards and CICD pipelines, mentoring senior engineers and establishing foundational infrastructure modules across the organization. Advise the team on an enterprise-wide implementation of zero copy integrations, to facilitate the data mesh.
• Knowledge Management: Establish and govern function-wide knowledge synchronization standards and "Documentation as Code" paradigms across the global DevOps and Analytics Engineering job families to ensure enterprise architectural clarity
• Incident Response & Operational Resilience: Mitigate existential infrastructure and architecture risks across the global enterprise. Design high-scale zero-trust data reliability parameters and predictive platform telemetry layers to guarantee unbroken data platform uptime during hyper-growth cycles
• Agile Operational Facilitation: Sponsor and chair cross-functional technical review boards to align technical direction across competing business segments. Drive complex multi-team infrastructure transformations, navigate platform migration blocks, and manage capital resource planning
• ED&A Methodologies: Establish and govern the core operational blueprints for embedding DataOps and Active Data Governance principles directly into our master software continuous delivery pipelines
• AI Productivity: Pioneer the implementation of an AI-first workforce strategy by building division-level agent networks and automated scripts natively inside Cursor IDE, Sana, and Gemini tracks to automate code refactoring, system validation, and portfolio tracking at an enterprise scale

Basic Qualifications

• 12+ years of professional technical leadership experience in DataOps, DevOps, cloud automation, program management, or platform engineering tracks, operating prominently within an enterprise data and analytics context
• Proven track record of successfully managing and scaling a suite of interrelated data platform products, cluster configurations, and CI/CD networks at an enterprise level
• Exceptional executive leadership presence with a history of influencing VP and SVP-level stakeholders to drive technical consensus and cross-functional organizational pivots

Other Qualifications

• Modern Data Stack & Cloud Foundations: Expert-level technical command over high-scale distributed data platforms, capital asset cluster budgeting, modern warehouse layouts, Infrastructure as Code (Terraform), and hyperscale pipeline orchestration boundaries. Hands-on experience or familiarity with GitHub Actions, Snowflake, Fivetran, Sigma, and Atlan (or similar enterprise data platforms) is preferred
• AI-Native Development & Ops: Master-level capability directing AI-forward validation and deployment frameworks, setting branch benchmark policies for autonomous code generation loops, and designing division-level agent networks to eliminate manual infrastructure workflows
• Data Governance & Observability: Comprehensive expertise utilizing federated active metadata layers and predictive data trust telemetry to hardcode compliance logic natively into global platform environments and manage complex asset lifecycles
• Operational Communication & Collaboration: Superior capacity to successfully navigate high-pressure corporate environments and complex technical landscapes to secure functional consensus across competing business units, acting as an active change agent and thought leader for the DevOps and engineering communities