Principal DataOps Engineer
Contract W2
2 Weeks
Remote
Depends on Experience
Milestone Technologies, Inc.
Fitment
Dice Job Match Score™
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Job Details
Skills
Summary
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
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: smci
- Position Id: 894345
- Posted 1 day ago
Company Info
Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure, and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow.
Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential.
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