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Job Description
Job Summary
We are seeking an experienced and strategic Digital Operations Lead Architect to drive enterprise digital operations transformation initiatives. The ideal candidate will possess strong expertise in Azure cloud technologies, Databricks, SQL, Data Quality, DevOps, and enterprise architecture, along with proven leadership in stakeholder engagement and team management. This role will be responsible for designing scalable digital operations solutions, leading cross-functional teams, ensuring operational excellence, and enabling data-driven decision-making across the organization.
Key Responsibilities
Digital Operations & Solution Architecture
- Lead the architecture, design, and implementation of Digital Operations (DigiOps) solutions across enterprise platforms.
- Define scalable, secure, and high-performing architecture standards and best practices.
- Drive operational modernization initiatives using cloud-native and data engineering technologies.
- Collaborate with business and technology leaders to align architecture with strategic objectives.
- Design integrated operational ecosystems leveraging automation, analytics, and cloud capabilities.
Azure & Data Engineering Leadership
- Architect and oversee enterprise data platforms using Azure services and Azure Databricks.
- Lead the design and optimization of scalable ETL/ELT pipelines and data processing frameworks.
- Ensure efficient data storage, transformation, and analytics solutions.
- Drive SQL optimization, database performance tuning, and data modeling best practices.
- Provide technical leadership on cloud migration and modernization programs.
Data Quality & Governance
- Define and implement enterprise data quality frameworks and governance standards.
- Establish monitoring mechanisms for data integrity, consistency, and compliance.
- Collaborate with governance and business teams to ensure trusted and reliable data assets.
- Drive root cause analysis and remediation strategies for data quality issues.
DevOps & Operational Excellence
- Lead CI/CD strategy and deployment automation initiatives.
- Define DevOps standards, release management processes, and operational monitoring frameworks.
- Ensure system reliability, scalability, security, and high availability.
- Promote Infrastructure-as-Code (IaC) and automation best practices.
- Collaborate with infrastructure and security teams to ensure platform resilience.
Stakeholder & Program Management
- Engage with senior business stakeholders to understand strategic priorities and operational challenges.
- Translate business requirements into scalable technical and operational solutions.
- Provide architecture governance, technical advisory, and executive-level reporting.
- Drive cross-functional collaboration across engineering, operations, analytics, and business teams.
Team Leadership & Mentorship
- Lead and mentor engineering, operations, and data teams.
- Drive capability building, technical coaching, and performance management.
- Foster a culture of innovation, accountability, and continuous improvement.
- Manage delivery planning, resource allocation, and execution oversight.
Required Skills & Qualifications
Technical Skills
- Strong expertise in Digital Operations (DigiOps) transformation and enterprise architecture.
- Hands-on experience with Microsoft Azure cloud ecosystem.
- Strong expertise in Azure Databricks and large-scale data engineering solutions.
- Advanced SQL skills including optimization, data modeling, and performance tuning.
- Experience implementing enterprise Data Quality and Data Governance frameworks.
- Strong exposure to DevOps practices and CI/CD tools such as Azure DevOps, Jenkins, GitHub Actions, etc.
- Experience with cloud-native architecture, distributed systems, and scalable platforms.
- Knowledge of ETL/ELT frameworks, PySpark, and big data technologies.
- Familiarity with API integrations, microservices, and event-driven architectures.
Leadership & Management Skills
- Strong stakeholder management and executive communication skills.
- Proven experience leading cross-functional and distributed teams.
- Ability to manage multiple strategic initiatives simultaneously.
- Strong decision-making, problem-solving, and governance capabilities.
- Experience managing enterprise delivery and operational transformation programs.
Preferred Skills
- Experience with Azure Data Factory, Synapse Analytics, and Power BI.
- Exposure to Infrastructure-as-Code tools such as Terraform or ARM templates.
- Knowledge of Kubernetes, Docker, and container orchestration.
- Familiarity with observability and monitoring platforms.
- Experience in Agile, SAFe, or enterprise delivery frameworks.
Educational Qualifications
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related field.
Experience
- 10+ years of experience in Digital Operations, Data Engineering, Cloud Architecture, or Enterprise Technology roles.
- 5+ years of experience in architecture leadership, stakeholder management, and team leadership.
Key Competencies
- Strategic Thinking
- Enterprise Architecture
- Operational Excellence
- Leadership & Mentorship
- Stakeholder Management
- Data-Driven Decision Making
- Cloud & Data Platform Expertise
- Innovation & Transformation Leadership
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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Skills Required
- Expertise in Digital Operations (DigiOps) transformation and enterprise architecture
- Hands-on experience with Microsoft Azure cloud ecosystem
- Experience with Azure Databricks and large-scale data engineering
- Advanced SQL skills including optimization, data modeling, and performance tuning
- Experience implementing enterprise Data Quality and Data Governance frameworks
- Strong exposure to DevOps practices and CI/CD tools (Azure DevOps, Jenkins, GitHub Actions)
- Experience designing and optimizing ETL/ELT pipelines, PySpark, and big data technologies
- Familiarity with cloud-native architecture, distributed systems, microservices, APIs, and event-driven architectures
- Proven stakeholder management, executive communication, and cross-functional leadership experience
- 10+ years experience in Digital Operations, Data Engineering, Cloud Architecture, or Enterprise Technology roles
- 5+ years experience in architecture leadership and team leadership
- Bachelor's or Master's degree in Computer Science, IT, Engineering, or related field
- Experience with Azure Data Factory, Synapse Analytics, and Power BI
- Exposure to Infrastructure-as-Code tools such as Terraform or ARM templates
- Knowledge of Kubernetes, Docker, and container orchestration
- Familiarity with observability and monitoring platforms
- Experience in Agile, SAFe, or enterprise delivery frameworks
Fractal Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fractal and has not been reviewed or approved by Fractal.
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Healthcare Strength — Health coverage includes medical, dental, and vision along with tax‑advantaged accounts and EAP in the U.S., indicating a broad core package. Feedback suggests core protections exist across regions, though specifics can vary by location.
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Leave & Time Off Breadth — Time‑off programs include generous PTO, paid holidays and sick time, paid volunteer time, and sabbaticals in some areas. Some accounts also describe manager‑approved or flexible PTO approaches alongside hybrid/WFH latitude.
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Flexible Benefits — Work arrangements commonly include remote/hybrid options and flexible schedules. Flexibility is frequently highlighted as part of the overall value proposition.
Fractal Insights
What We Do
Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.







