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    Job · 21265257

    BENGALURU · FULLTIME

    MS-FDL-Ops Architect-Manager

    Ernst Young

    Ernst Young

    Bengaluru · onsite · Posted 5d ago

    Sourced fromNaukri
    Undisclosed18–20 yrsfulltimeBengaluru

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    Section · 01

    About this role

    Job Title

    Operation Architect

    Job Summary

    We are looking for highly skilled and experienced Technology Operations Manager / Solution Architect to lead the end-to-end ownership of a scalable enterprise data product platform in the corporate finance transformation space.

    You will play a critical leadership role in shaping data platform strategy, engineering standards, and delivery governance, while ensuring high availability, quality, and business value realization across client engagements.

    This role sits at the intersection of architecture, engineering, and operational excellence, responsible for driving platform scalability, delivery execution, and team leadership for a high-performing team. The ideal candidate will combine deep technical expertise with strong operational rigor and stakeholder management, enabling the delivery of data-driven finance transformation solutions (P2P, O2C, R2R, FP&A, etc.) at scale.

    Responsibilities

    Technology & Architecture Leadership
    • Define , collaborate and own the architecture roadmap for scalable data platforms supporting finance transformation use cases
    • Manage and some time implement robust, secure, and high-performance data pipelines and analytics layers (cloud-native)
    • Establish architecture standards, design patterns, and best practices across data ingestion, processing, storage, and consumption layers
    • Drive adoption of modern data stack (e.g., cloud data platforms, data lakes/lakehouse, orchestration, APIs, AI/ML enablement)
    • Work with the DevOps team closely to create and own CI, CD , release management
    • Lead incident management drives, situations and resolution.


    Delivery & Operational Excellence
    • Lead end-to-end delivery governance for multiple concurrent workstreams, ensuring timelines, quality, and outcmes
    • Implement operating models for scaled delivery (agile, DevOps, SRE practices)
    • Establish KPIs, SLAs, and performance monitoring frameworks for platform reliability, scalability, and cost optimization
    • Drive continuous improvement initiatives across engineering productivity, quality, and release management
    • Ensure data quality, governance, and compliance frameworks are embedded in platform operations


    Team Leadership & Talent Management
    • Lead and scale a multi-disciplinary team including data engineers, architects, analysts, and DevOps specialists
    • Build a high-performance culture focused on accountability, innovation, and outcome delivery
    • Drive resource planning, capability building, and skill development aligned to evolving platform needs
    • Mentor and coach team members on technical depth, problem-solving, and client engagement


    Business & Stakeholder Management
    • Partner with business stakeholders, finance transformation leaders, and clients to translate requirements into scalable solutions
    • Act as a bridge between business and technology, ensuring alignment to value realization and measurable outcomes
    • Support solutioning, proposals, and client discussions with architecture and delivery inputs
    • Communicate program status, risks, and value delivered to executive stakeholders


    Platform & Product Mindset
    • Drive a product-centric approach to platform development (reusability, modularity, scalability)
    • Identify opportunities to industrialize solutions into reusable assets/platform capabilities
    • Enable AI/analytics-driven insights on finance data to unlock business value


    Qualifications

    Education & Experience
    • Bachelors/Masters degree in Computer Science, Engineering, or related field
    • 1218+ years of experience in data engineering, platform architecture, and delivery leadership
    • Proven experience leading large engineering teams in enterprise environments


    Technical Expertise
    • Strong hands-on experience with cloud platforms (Azure, AWS, or GCP)
    • Expertise in data architecture patterns (data lakes, lakehouse, warehouses, distributed processing)
    • Proficiency in data engineering tools and frameworks (e.g., Spark, Kafka, Airflow, DBT, etc.)
    • Experience with API-driven architectures, microservices, and integration frameworks
    • Understanding of data governance, security, and compliance frameworks


    Operational & Delivery Skills
    • Proven track record in driving large-scale delivery programs with strong governance

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    Section · 02

    Skills

    Corporate FinanceAgilecloud platformsapisdata architectureamazon web servicesapache airflowCapability Buildinganalytics platformsAnalyticsCloud DataCapital MarketsconcurrentcloudCommunication SkillsArchitecturecomplianceMicrosoft AzureArtificial Intelligence

    Section · Company

    About Ernst & Young

    Ernst Young

    Ernst Young

    Management Consulting

    44k+

    employees

    2002

    24 years old

    Gurgaon / Gurugram, Haryana

    India

    ₹15.3L PA avg

    Avg at Ernst & Young

    About

    At EY, our purpose is Building a better working world. The insights and quality services we provide help build trust and confidence in the capital markets and in economies the world over.

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