Data Engineering Manager - Multiple Teams
About the job
- Eight to twelve or more years of experience in software or data engineering and cloud platform roles, including three or more years managing or leading engineering teams.
- Experience designing and operating cloud-native data platforms on Amazon Web Services, Microsoft Azure, Google Cloud Platform, or multiple cloud providers.
- Strong full-stack capabilities in backend services using Python, Java, Scala, or Go, with robust application programming interface design.
- Experience with frontend or web user interface development using React, Vue, or similar technologies is a plus.
- Deep experience with Apache Spark or Databricks; data lakes or lakehouses using Delta, Iceberg, or Hudi; data warehouses using Snowflake, BigQuery, or Redshift; streaming using Kafka or Kinesis; and feature stores or vector databases.
- Expertise in infrastructure as code using Terraform or CloudFormation, container orchestration using Kubernetes, continuous integration and continuous delivery pipelines, and automated testing.
- Solid understanding of security, identity and access management, encryption, and regulatory compliance for data.
- Experience with monitoring and observability tools, cost management, and site reliability engineering or operations practices.
- Strong stakeholder management, program delivery, and vendor evaluation experience.
- Strategic thinking, a delivery mindset, and a focus on measurable outcomes.
- People management and coaching ability, including fostering psychological safety and continuous learning.
- Ability to communicate clearly and concisely and translate technical tradeoffs to business stakeholders.
- Bachelor of Technology or Master of Technology from an engineering college.
- Master's degree in Computer Science.
- Master's degree in Statistics, Econometrics, or Economics.
- Own the end-to-end data platform and full-stack data product roadmap, including architecture, delivery, reliability, and cost efficiency.
- Translate business requirements into scalable cloud architectures for data ingestion, processing, storage, application programming interfaces, and user interfaces serving analytics, reporting, and machine learning or generative artificial intelligence needs.
- Drive the design and implementation of batch and streaming pipelines, microservices, application programming interfaces, feature stores, vector databases, and relational and NoSQL data stores.
- Ensure resilient deployments through continuous integration and continuous delivery, infrastructure as code, Docker and Kubernetes containerization, serverless patterns, and orchestration using Airflow, Azure Data Factory, or other tools.
- Lead cloud cost optimization, capacity planning, security, compliance, and data governance, including lineage, cataloging, and access controls.
- Partner with Product, Data Science, Analytics, and Engineering to prioritize platform features, service-level agreements, and service-level objectives.
- Establish and enforce engineering best practices, including code reviews, testing, observability, incident runbooks, and postmortems.
- Hire, mentor, and grow engineers and leads; allocate resources, set goals, and manage delivery across multiple pods.
- Drive migration and modernization initiatives such as on-premises to cloud, monolith to microservices, and legacy extract-transform-load systems to lakehouses when applicable.
- Maintain stakeholder communication through status reporting, technical tradeoff discussions, risk mitigation, and roadmap alignment.
- Frontend or web user interface experience using React, Vue, or similar technologies.
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
Accenture will hold an Investor Day on October 14, where it is expected to detail its long-term strategy, AI monetisation plans, growth guidance, and margin expansion goals. The event follows a rebound in its shares after fears that AI would erode traditional consulting work. The stock hit a low of $118.15 in June, down from a January high of $291.09. It has since gained nearly 77%, helped by fourth-quarter results on October 1 and an expanded collaboration with Dell Technologies. Fourth-quarter revenue rose 6% to $18.7 billion, and new bookings reached $22.2 billion. Accenture expects fiscal 2027 revenue growth of 3% to 6% in local currency. It raised its quarterly dividend by 5% to $1.71 per share, payable November 13, 2026. Its market capitalisation is about $139.6 billion.
Accenture has acquired Sagacity, a London-based data and customer intelligence firm, to strengthen Accenture Song's AI-powered customer services. The deal brings more than 140 professionals to Accenture Song's UK and Ireland operations. Terms were not disclosed. Founded in 2005 by Anita Dougall, Malka Townshend, and Harry Dougall, Sagacity offers data assets, AI-enabled technology, and customer intelligence expertise. Accenture says clients want to connect data, AI, and operations into unified programmes that deliver measurable results. The move targets industries with large customer bases, such as utilities, retail, banking, and telecommunications. "Sagacity's deep expertise and outcome-focused approach will enhance our ability to help clients turn insight into action," said Sohel Aziz, senior managing director of Accenture Song, UK and Ireland.
TM Forum has launched a multi-year Trustworthy AI programme with Accenture to help telecoms deploy autonomous operations with verifiable trust standards. The initiative will deliver the industry's first Trustworthy AI Governance Certification, providing a benchmark for trusted AI deployment. Recent TM Forum research found that whilst 72% of communications service providers believe their AI capabilities are trustworthy, only 14% can verify their claims. The programme aims to transform AI trust from aspiration into measurable operational capability. The certification will help organisations assess governance maturity, workforce readiness, and operational accountability needed to scale AI autonomously. It will operate through TM Forum's AI-Native Collaboration Studios, where telecoms operators, vendors, and partners will contribute real-world use cases to shape the framework.
Accenture reported revenue of nearly $74.2 billion for fiscal year 2026, up 6.5% year-over-year, with net income of roughly $8.5 billion. The professional services firm serves approximately 9,000 clients globally with 814,000 employees. Microsoft generated revenue of nearly $331.8 billion in FY 2026, a 17.8% increase, with net income of approximately $133.7 billion. The company's net margin reached close to 40.3%. Both companies maintained a debt-to-equity ratio of approximately 0.3x. Microsoft's free cash flow reached nearly $67.0 billion, whilst Accenture's was roughly $11.6 billion. Accenture recently addressed a $25 million settlement with the Department of Justice regarding federal contracting practices. Microsoft faces securities fraud class action lawsuits involving AI and Copilot claims, alongside antitrust scrutiny and an IRS tax audit.
Accenture shares surged 17% on Thursday after reporting strong fourth-quarter results. The company posted revenue of $18.7 billion, up 6% year-over-year, while earnings per share jumped 46% to $3.29. Management's full-year revenue growth forecast of 4.5% exceeded analyst expectations of 4%. Net bookings rose 4% to $22.2 billion. The company plans to return at least $9.5 billion to shareholders this financial year. However, TD Cowen analyst Bryan Bergin maintained a hold rating, citing concerns that the stock is fully priced at 15 times forward earnings. He cautioned that one strong quarter may represent a cyclical bounce rather than structural growth acceleration. Despite this, Wall Street remains optimistic, with a "moderate buy" consensus rating. Accenture currently offers a 3.05% dividend yield.