Director – Data Platforms, Architecture

3Cloud

. Lead multiple teams and managers, ensuring each group is healthy, high-performing, and aligned to service line priorities .

Posted 9/30/2026full-timeRemote • United StatesLead💰 $162,800 - $244,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in Azure architecture and data platform strategy, with a strong focus on Databricks and cloud modernization. Proven ability to lead multi-team initiatives, mentor senior architects, and connect business goals to scalable technical solutions.

Highest-signal resume keywords

Azure ArchitectureDatabricks ExpertiseCloud Modernization StrategySolution Architecture LeadershipAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringApplication DevelopmentDevOps PracticesSpark OptimizationDelta Lake DesignAI IntegrationAutomated Testing StrategiesQuality Assurance PracticesArchitecture Decision RecordsCloud Platform Engineering

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsMentoringStakeholder Engagement

Tools & Technologies

Azure Data ServicesMicrosoft TechnologiesSnowflakeMicrosoft FabricPower BI

Certifications & Qualifications

Databricks ChampionDatabricks Professional LevelAzure Solutions Architect Expert

Industry Keywords

Cloud ModernizationEnterprise Scale SolutionsCross-Team CollaborationData Platform OfferingsConsulting Services

Tech Stack

Tools & technologies

AzureCloudSpark

About the role

Key responsibilities & impact

Lead multiple teams and managers, ensuring each group is healthy, high-performing, and aligned to service line priorities
Lead architecture for large Azure programs spanning applications, platforms, and data
Connect business goals to cloud modernization roadmaps, define architecture frameworks, and guide multi-team execution
Set organization-wide technical direction across practices and orchestrate cross-team discovery
Turn successful technical patterns into reusable models
Promote engineering, automation, and AI-assisted practices
Mentor Senior Architects and Delivery Architects
Maintain team development plans, coach team members, and provide feedback
Oversee staffing and resource alignment across teams
Lead architecture and technical strategy for large Azure programs and portfolios
Define modernization blueprints and reference architectures across applications, platforms, and data
Translate business and product strategy into cloud architecture roadmaps and execution plans
Guide major architecture decisions and resolve high-impact technical trade-offs
Provide architectural oversight through design reviews, forums, and governance
Define and own enterprise data platform strategy centered on Databricks or equivalent lakehouse architectures
Establish reference architectures spanning ingestion, lakehouse, analytics, and AI/ML
Set standards for Databricks lakehouse design, Delta Lake optimization, streaming and batch processing, governance, security, and multi-region deployments
Integrate Databricks with Azure-native services and downstream analytics tools
Lead executive and senior stakeholder conversations on cloud modernization, platform strategy, AI adoption, and program roadmaps
Define discovery and delivery frameworks for predictable, incremental delivery across multiple teams and time zones
Track risks, technical debt, quality trends, and architectural drift
Support opportunity qualification, estimating, pursuits, and solution development
Mentor Senior Architects, Delivery Architects, and senior engineers
Create reference implementations, architecture decision records, playbooks, mentoring guides, and other learning assets
Identify account growth opportunities and drive sales pursuits as Pursuit Lead or Technical Solution Lead
Define reusable architectures, modernization playbooks, landing zone templates, workshops, accelerators, and starter repositories
Champion modern frameworks, cloud platform capabilities, automation, and AI-assisted tools
Contribute to cross-practice initiatives and enablement programs

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field preferred
12+ years of experience delivering solutions in a primary domain such as application development, cloud platform engineering, DevOps, or data and analytics, including significant work at enterprise scale
7+ years of experience in solution architecture and leading development or engineering teams, including multi-team or multi-workstream efforts at program scale
10+ years of experience in data platforms, data engineering, or consulting
Deep architectural expertise with Databricks, including Spark optimization, Delta Lake, and workload design
Strong understanding of Azure-native data services and cloud architecture
Proven experience architecting and implementing solutions using Microsoft technologies
Proven experience leading architecture and delivery for Azure-based modernization, transformation, AI, or platform programs at enterprise scale
Experience defining solution and platform architectures that connect business strategy with scalable technical design, strong delivery practices, and measurable outcomes
Experience leading hybrid and remote teams and working with multiple stakeholders across time zones while maintaining alignment, quality, and predictable delivery
Deep understanding of core concepts, languages, frameworks, and design patterns in a primary domain, with the ability to apply them at system and program scale
Experience designing and integrating quality, automation, and observability practices at scale, including automated testing strategies and embedding quality checks into delivery workflows
Experience using AI-augmented development and integrating AI and machine learning capabilities into solutions
Significant experience working in Agile or Scrum environments at scale, including backlog structuring, dependency management, integration planning, and release management
Proven success in consulting or professional services, including client-facing leadership and executive engagement
Familiarity with key Azure services used in modern solutions relevant to your domain
Strong analytical and problem-solving skills, with strong presentation, written, and verbal communication skills for technical and business audiences
Commitment to continuous learning in cloud, data, and AI
Ability to foster culture, inclusion, and community participation across the organization
Relevant cloud architecture certifications strongly preferred
Experience with multiple cloud vendors and complementary platforms such as Snowflake, Microsoft Fabric, and Power BI preferred
Experience creating data platform offerings preferred
Relevant certifications such as Databricks Champion, Databricks Professional level, or Azure Solutions Architect Expert preferred
Applicants must be unable to require work visa sponsorship; 3Cloud cannot sponsor applicants for work visas

Benefits

Comp & perks

Flexible work location with a virtual first approach to work
401(K) with match up to 50% of your 6% contributions of eligible pay
Generous PTO providing a minimum of 15 days in addition to 9 paid company holidays and 2 floating personal days
Two medical plan options
Option for vision and dental coverage
100% employer paid coverage for life and disability insurance
Paid leave for birth parents and non-birth parents
Option for Healthcare FSA, HSA, and Dependent Care FSA
$67.00 monthly tech and home office allowance
Utilization and/or discretionary bonus eligibility based on role
Employee Assistance Program to help with everyday challenges