E

Ernst & Young

Global professional services: consulting, assurance, tax

Ey – AI and DATA-AI Data Platform Architect/Lead - GDS Consulting, Manager

Full-TimeUpdated on 10/26/2026
No salary listed
Expert
Hyderabad, Telangana, India
In Person
Engineering ManagementEngineering Leadership

About the job

Requirements
  • At least 10 years of experience in data engineering, cloud data platforms, AI platforms, platform engineering, enterprise architecture, or delivery leadership.
  • Strong hands-on understanding of platform architecture, APIs, enterprise integration, Git and continuous integration/continuous delivery, data security, governance, site reliability engineering operations, and AI/agentic engineering.
Responsibilities
  • Serve as design authority for AWS data platform initiatives across multiple domains, programmes, and enterprise data products.
  • Define target-state architecture using AWS Glue, Amazon S3, Athena, Redshift, EMR, MWAA/Airflow, Step Functions, Lambda, EventBridge, CloudWatch, Lake Formation, and lakehouse patterns.
  • Own architecture decisions for scalability, resilience, security, governance, observability, performance, maintainability, FinOps, and production readiness.
  • Create platform standards, reference architectures, reusable frameworks, migration playbooks, and engineering governance for AWS data platforms.
  • Lead API-led and service-based integration patterns across source systems, enterprise applications, SaaS platforms, data catalogues, governance tools, messaging services, and downstream analytics and AI consumers.
  • Define standards for REST APIs, event-driven ingestion, change data capture, streaming, file ingestion, database integration, authentication, retries, error handling, and dependency monitoring.
  • Integrate AWS data platforms with enterprise services such as identity and access management, secrets management, network controls, monitoring, ticketing, metadata, lineage, access workflows, and DevOps tools.
  • Drive reusable integration frameworks using API Gateway, Lambda, EventBridge, Step Functions, Glue, EMR, MWAA, Kinesis, and managed event-driven patterns where appropriate.
  • Establish Git connectivity across code repositories, branching strategy, pull requests, code reviews, release controls, artefact versioning, and environment promotion.
  • Lead continuous integration/continuous delivery and infrastructure-as-code adoption using GitHub, Azure DevOps, Jenkins, Terraform/OpenTofu, CloudFormation, and policy-as-code practices.
  • Define automated testing, code scanning, dependency scanning, secrets management, configuration management, deployment validation, and production release documentation standards.
  • Promote automation for environment setup, monitoring, reconciliation, deployment validation, compliance evidence, and support handover.
  • Drive AWS security practices, including least-privilege IAM, KMS encryption, Secrets Manager, VPC endpoints, CloudTrail, logging, controlled data handling, and audit-ready access patterns.
  • Define governed access models using AWS Lake Formation, Glue Data Catalog, Macie, Immuta, Microsoft Purview, Collibra, and enterprise IAM/access workflow tools as relevant.
  • Implement controls for role-based and attribute-based access, dynamic masking, row- and column-level access, data classification, lineage, data residency, privacy, and policy enforcement.
  • Partner with cyber, privacy, risk, infrastructure, and architecture teams to ensure AWS platform designs are secure, compliant, and production-ready.
  • Establish Data SRE practices for AWS data pipelines, lakehouse services, orchestration, ML/AI workloads, and platform operations.
  • Define observability dashboards covering Glue/EMR/MWAA job health, data freshness, data quality, SLA/SLO, cost, capacity, access activity, incident trends, and dependency failures.
  • Act as escalation point for complex production issues, root-cause analysis, recurring incident elimination, performance tuning, and long-term platform improvement.
  • Drive restartability, retry logic, alert rationalisation, runbooks, service transition, support operating model, and operational continuity.
  • Integrate AWS data platforms with Amazon SageMaker for data preparation, feature engineering, model training, deployment, model monitoring, MLOps, and inference-ready data products.
  • Support AI/GenAI workloads using SageMaker, Bedrock where relevant, vector databases, knowledge bases, RAG, GraphRAG, model evaluation, and enterprise AI governance patterns.
  • Drive agentic and AI-assisted operations for metadata discovery, mapping, lineage, data quality rule generation, anomaly detection, failure diagnosis, automated remediation, and self-healing workflows.
  • Ensure AI-enabled AWS data solutions remain secure, governed, explainable, observable, and aligned with enterprise risk controls.
Desired Qualifications
  • Certifications aligned to cloud architecture, data engineering, DevOps, security, AI/ML, governance, and platform-specific technologies.
  • Act as a trusted advisor to senior stakeholders while remaining credible in architecture and engineering discussions.
  • Balance strategy, delivery governance, team leadership, platform operations, and hands-on technology judgement.
  • Build future-ready autonomous data engineering capability and mentor teams through emerging AI-native practices.

About the company

E

Ernst & Young

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EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company Size

5,001-10,000

Company Stage

N/A

Total Funding

N/A

Headquarters

Boston, Massachusetts

Founded

1991

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  • EY uses client-zero deployments, scaling Copilot across 400,000 people by May 2026.
  • EY’s 2026 AI assurance push monetizes client demand for governance, controls, and risk reviews.

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  • Sabah filed RM2.4 billion audit-negligence claims against EY on July 30, 2026.
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  • Repeated audit failures can destroy trust, trigger client defections, and shrink the franchise permanently.

What makes Ernst & Young unique

  • EY Canvas processes 1.4 trillion journal-entry lines across 160,000 global audits.
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Benefits

  • Professional Development Budget
  • Flexible Work Hours
  • Remote Work Options

Company News

PR Newswire
Oct 19th, 2026
MedTech revenue hits $650B as M&A value jumps to $130B and financing reaches record $63B

EY's 20th Pulse of the MedTech Industry report finds the global medical technology industry at a turning point, with record financing and dealmaking but growth concentrated among a few leaders. MedTech revenue reached about $650 billion in 2025, up 11%. In the first half of 2026 it hit $325 billion, up 7.1% year on year. Financing hit a record $63 billion in the year to June 30, 2026, up 87%. Initial public offerings and debt made up about 80% of it. M&A value reached roughly $130 billion, the highest in over a decade, driven by a few blockbuster deals. First-half 2026 deal value rose 160% against the same period in 2025. "The broader sector players are at a turning point where discipline is essential to convert innovation into profitable growth," said John Babitt, EY Global MedTech Leader.

Business Insider
Oct 8th, 2026
EY adds nearly 10,000 staff globally as AI revenue surges 50%

EY added nearly 10,000 staff globally in its 2026 financial year as AI-related revenue surged almost 50%. The Big Four firm's workforce reached 415,000, with most growth concentrated in global delivery services and offshoring centres. The Americas division saw headcount decrease by roughly 4,500, or 5%. Overall global revenue rose 4.7% to $57 billion. EY-Parthenon was the fastest-growing service line, with revenue increasing 7.4% to $6.8 billion, marking a turnaround after two years of minimal growth. Tax revenue rose 6% to $13.8 billion, whilst consulting grew 4.4% to $17.4 billion. The results reflect EY's "All-In" strategy under global chair Janet Truncale, with billions invested in transforming operations and AI services.

PR Newswire
Sep 9th, 2026
US oil producers hit record output as capital spending drops 49% and reserve replacement falls

An Ernst & Young study found US oil and gas producers reached record production in 2025 while becoming more selective with investments. The analysis of 30 major exploration and production companies, representing 43% of US oil and gas output, showed oil production hit a study-period high, yet reserve additions from extensions and discoveries declined 11% year over year and failed to fully replace production volumes for the first time since 2021. Total capital expenditures fell 49% year over year, whilst M&A spending declined 70%. Exploration spending dropped 11% to $4.8 billion, representing only 3% of total capital expenditures. Natural gas showed stronger fundamentals, with production rising 18%, reserves increasing 14%, and discoveries up 21%.

Yahoo Finance
Aug 31st, 2026
EY commits $100M to bonuses rewarding human skills alongside AI adoption

Ernst & Young's US division is allocating $100 million this fiscal year to bonus payments rewarding employees who demonstrate adaptability, innovation, and judgement. Individual spot awards reach $500, whilst employees or teams making significant contributions can receive between $10,000 and $25,000, five times the previous programme's ceiling. The initiative also covers AI experimentation. "What we recognise signals what we value," said Ginnie Carlier, chief talent and culture officer for EY Americas. The bonuses form part of a broader strategy to reshape employee development across all career levels. Other professional services firms are pursuing similar approaches. KPMG restructured its audit internship this summer to emphasise critical thinking, whilst PwC US introduced training combining AI proficiency with human qualities like empathy. EY reported AI-related revenue grew 30% year-over-year in 2025.

Consultancy.eu
Aug 28th, 2026
EY-Parthenon acquires Dutch digital strategy consultancy SparkOptimus

EY-Parthenon has acquired SparkOptimus, a Dutch digital strategy consultancy founded in 2010. The Amsterdam-based firm employs around 50 consultants and specialises in AI transformation, digital business model redesign and technology-driven transformation. SparkOptimus founders Alexandra Jankovich and Tom Voskes, both former McKinsey consultants, said joining EY-Parthenon will create significant value for clients and staff whilst providing access to broader capabilities. The acquisition marks EY-Parthenon's first European deal since 2021. EY-Parthenon, established in 2014, is EY's strategy consulting and transactions advisory business with around 25,000 professionals globally. Mark Reich, Partner at EY-Parthenon Netherlands, said SparkOptimus' expertise will complement existing capabilities in the Dutch market. The deal closes on 1 September 2026. Financial terms were not disclosed.