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Accenture

Advises businesses and runs their technology

Technology Architect

Full-TimeUpdated on 10/23/2026
No salary listed
Expert
Pune, Maharashtra, India
In PersonBased at the Pune office.
Data & AnalyticsData Engineering

About the job

Requirements
  • A minimum of 15 years of experience in Enterprise Architecture Framework is required.
  • At least 10 years of enterprise software architecture experience and 5 years leading Adobe Experience Platform or Adobe Experience Cloud architecture on large-scale implementations.
  • Authority-level knowledge of Adobe Experience Platform architecture, including XDM schema design, dataset lifecycle, Profile store, Identity Graph, Segmentation Engine, and Destination framework.
  • Proven delivery of end-to-end Real-Time Customer Data Platform programmes, from platform onboarding and ingestion architecture through segmentation, activation, and operational observability.
  • Strong command of Adobe Experience Platform source connectors, including Adobe-native Target, Audience Manager, and Analytics, and third-party Redshift, Reltio, Veeva, Salesforce, SAP, and Marketo.
  • Experience defining Adobe Experience Platform sandbox strategy, software development life-cycle pipeline, and environment governance for enterprise programmes with multiple development teams.
  • Hands-on architecture experience with the Adobe Experience Platform Flow Service application programming interface, designing and governing the full object lifecycle across batch, streaming, and change-data-capture ingestion patterns.
  • Ability to architect custom Adobe Experience Platform source connectors using the Sources software development kit for proprietary systems without a native connector.
  • Expertise in Adobe Experience Platform HTTP Streaming Inlet application programming interface authentication, XDM payload contracts, and inlet monitoring, and in Edge Network Server application programming interface for server-side and server-to-server collection.
  • Experience designing event-driven ingestion architectures using Adobe I/O Events, Amazon Simple Notification Service/Simple Queue Service, and Event Grid with serverless transform layers.
  • Expertise in Adobe Experience Platform application programming interface authentication design, including IMS OAuth 2.0 client credentials, API key lifecycle, and JSON Web Token flows, and secrets-management integration with Azure Key Vault and AWS Secrets Manager.
  • Mastery of Flow Service API object types and dependency order, and ability to define enterprise naming conventions, JSON payload templates, and governance policies for their use.
  • Experience defining Data Prep mapping standards, including XDM field path conventions, transformation function libraries, nested array handling, and schema evolution (PATCH) policy.
  • Ability to design dataflow scheduling architecture, including CRON standards, backfill policy, delta column strategy, and partialIngestionEnabled thresholds, and govern continuous integration/continuous delivery promotion pipelines for sandbox-to-production deployment.
  • Experience integrating Flow Service run monitoring into enterprise observability platforms such as Splunk and Datadog, with alerting on flowRunStatus, recordsFailed, and ingestion lag.
  • Advanced SQL proficiency in Adobe Experience Platform Query Service (PostgreSQL dialect), including common table expressions, window functions such as ROW NUMBER, LAG, NTILE, and SUM OVER, FLATTEN() for nested XDM, and cross-dataset timestamp-partitioned joins.
  • Hands-on experience designing Data Distiller derived dataset strategies, including computed attributes libraries, INSERT INTO scheduling, output dataset versioning, and Profile enablement governance.
  • Experience governing Data Distiller compute usage, including query efficiency standards, credit monitoring, and optimization review gates for large-scale implementations.
  • Ability to architect multi-step Data Distiller pipelines as machine-learning feature stores integrated with Databricks, SageMaker, or Azure Machine Learning.
  • Hands-on federated audience composition architecture experience, including federated connections to Snowflake, Redshift, BigQuery, and Azure Synapse with Private Link/VPC routing and credential governance.
  • Ability to design and govern federated audience composition patterns, including filtering, enrichment joins, deduplication, splitting, and saving, with DULE-enforced data-residency controls.
  • Expert knowledge of Adobe Experience Platform Identity Service, including namespace taxonomy design, deterministic/probabilistic stitching policy, ECID strategy, and identity-graph topology governance.
  • Deep knowledge of Adobe Experience Platform data governance, including DULE labeling, Policy Service API, consent management, and Privacy Service API for automated GDPR/CCPA request fulfillment.
  • Experience designing Adobe Experience Platform Attribute-Based Access Control permission models, including role taxonomy, label-based resource restrictions, and sandbox access governance.
  • A degree in Computer Science, Software Engineering, or Information Architecture, or equivalent professional experience.
  • Experience operating within systems integration or consulting environments, managing client relationships, architecture governance, and multi-team delivery at programme scale.
Responsibilities
  • Design and deliver technology architecture for a platform, product, or engagement, defining solutions to meet performance, capability, and scalability needs.
  • Lead the design, governance, and strategic evolution of Adobe Experience Platform implementations across the enterprise client portfolio.
  • Serve as the technical authority for Adobe Experience Platform capability domains, translating business objectives into scalable solutions.
  • Partner with stakeholders and programme sponsors on digital experience roadmaps while providing hands-on technical leadership to implementation teams across schema design, Flow Service API orchestration, Query Service/Data Distiller patterns, and Federated Audience Composition.
  • Set and own Adobe Experience Platform architectural standards, review patterns, and governance frameworks for enterprise Real-Time Customer Data Platform programmes.
  • Influence and advise stakeholders, take responsibility for team decisions, engage with multiple teams on key decisions, and provide solutions to problems that apply across multiple teams.
  • Mentor and guide junior team members to support their professional growth and knowledge sharing.
Desired Qualifications
  • Experience with the CommerceTools Commerce Platform.
  • Experience with Adobe Journey Optimizer architecture, including journey canvas design, offer decisioning (ODE), and AJO-to-RTCDP segment-trigger integration.
  • Hands-on experience with Adobe Customer Journey Analytics, including cross-channel data-view design and CJA-to-AEP dataset integration.
  • Experience with Adobe Real-Time CDP B2B Edition, including account profiles, buying-group architecture, and B2B XDM schema design.
  • Experience leading Adobe Experience Platform Tags (Launch) governance, including rule taxonomy, extension management, and server-side forwarding architecture.
  • Exposure to Adobe Experience Platform AI/ML capabilities, including Customer AI propensity scoring, Attribution AI, and Intelligent Services integration with Real-Time Customer Data Platform segmentation.

About the company

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company Size

10,001+

Company Stage

IPO

Headquarters

Dublin, Ireland

Founded

1989

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Simplify's Take

What believers are saying

  • Business demand grew: October 2026 results showed $74.2 billion annual revenue, up 5% in local currency.
  • Eligible US employees buy discounted stock: Accenture's purchase plan sells shares at 15% below market price.
  • Client relationships run deep: Accenture has worked with 195 of its top 200 customers for more than ten years.

What critics are saying

  • Bookings are not guaranteed revenue: most Accenture contracts let clients cancel quickly with little or no penalty.
  • Promotions require AI adoption: Accenture's CEO said in March 2026 that employees must use its tools effectively.
  • Federal hiring practices proved costly: Accenture settled discrimination allegations for $25 million in September 2026, without a liability finding.

What makes Accenture unique

  • Its AI platform switches models: AI Refinery selects among prebuilt models according to cost, performance and other requirements.
  • Accenture owns specialist Microsoft expertise: it cofounded the Microsoft-focused Avanade consultancy with the software maker.
  • Consulting includes creative agencies: Accenture Song owns businesses spanning advertising, digital product design and customer engagement.

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Benefits

  • Health Insurance
  • Professional Development Budget
  • 401(k) Retirement Plan
  • 401(k) Company Match

Company News

Yahoo Finance
Oct 23rd, 2026
Accenture jumps 19% on earnings beat as SEC opens private assets to retail investors

Accenture shares rose about 19% after the consulting firm beat earnings and revenue expectations for its fiscal 2026 year, and guided fiscal 2027 slightly above Wall Street forecasts. Revenue grew 5% in local currency; management expects 3% to 6% growth next year. Non-GAAP operating margin edged up to 15.8%. The stock had dipped below 10 times expected earnings and now trades at about 14 times. Accenture said 65% of new bookings came from outcome-based fixed-price projects, which a Motley Fool contributor called a counterweight to AI's unpredictable costs. Separately, new US Securities and Exchange Commission rules aim to open private assets to retail investors. They raise the performance fee cap for registered advisers, add professional licences as a route to accredited investor status, and give private funds more leeway on redemptions.

Yahoo Finance
Oct 22nd, 2026
Accenture eyes $1.5B Greater China sale while building Gemini AI launchpads for US agencies

Accenture's federal arm, Accenture Federal Services, is working with Google Public Sector on Gemini launchpads for US federal agencies. The tools aim to help agencies build generative AI models into mission workflows and internal operations. Separately, Accenture is reviewing options for its Greater China business, including a possible sale. A deal was reported at up to $1.5 billion, and the company has hired JPMorgan to explore options. Accenture, a US-based IT consulting and managed services group, has a market value of about $141.3 billion. Investors are watching for contract wins from the Gemini work and any formal update on the China review.

Business Wire
Oct 21st, 2026
TÜV SÜD and Accenture unveil physical AI safety suite to bring factories online up to 30% sooner

TÜV SÜD and Accenture are working with NVIDIA technologies to speed up safety certification of robots in factories and warehouses. They unveiled a joint "Physical AI Safety Suite" at NVIDIA GTC Berlin. The suite uses digital twins, AI agents, and simulations to partly replace manual assessments. TÜV SÜD estimates the digital process could bring production online up to 30% sooner. Certification against standards such as ISO 3691-4 is mandatory in many industrial countries before automated facilities can start. At a medium-sized plant, agreeing on safety concepts can take several weeks. The suite checks layouts, robot fleets, and individual robots before deployment. TÜV SÜD provides independent assessment and keeps responsibility for certification.

Yahoo Finance
Oct 16th, 2026
Accenture caps staff AI spending at $29 a month after $1,000 bills

Accenture has capped employee AI spending at $29 (£21.75) a month after some staff ran up bills of $1,000, according to a report by 404 Media. The consulting firm wants to curb runaway costs as employees use AI for more everyday tasks. Companies are typically billed by usage, like a utility. Last week, some staff were told their access to Anthropic's Claude had been pulled entirely. Others are also reining in costs. Uber capped engineers' Claude spending at $1,500 a month after using up its AI budget in four months, while Microsoft has reportedly cut its Claude spending by about a third. The curbs come as Anthropic prepares for a public listing, targeting a valuation as high as $2tn. Investors are reportedly considering about $1.5tn.

Yahoo Finance
Oct 16th, 2026
Accenture's AI push: analysts see earnings reaching $10.3B by 2029 on 5.2% yearly revenue growth

Accenture is shifting AI work from pilots to deeply embedded systems, according to recent deals with UMass Memorial Health, Dell, Microsoft and Workday. The UMass Memorial project is a multi-year AI data platform, while the Dell alliance pitches private AI infrastructure to regulated clients. Analysts expect revenue to grow 5.2% a year over the next three years, with profit margins rising from 11.3% to 11.9%. They forecast earnings of $10.3 billion by 2029, up from $8.4 billion today, on revenue of $86.3 billion. The stock trades at a price-to-earnings ratio of 14.2x, against 21.9x for US IT peers. Risks include slower decision cycles in federal and EMEA work, which could curb consulting demand and margins.