Technology Architect at Accenture

Gurugram, Haryana, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Minimum 3 year(s) of experience (updated to minimum 5 years in Google Cloud Data Engineering or related domains)
15 years full time education (strong educational background in computer science, data engineering, or related field preferred)
Must have skills: Google Cloud Platform Architecture; Strong experience in Google Cloud Data Services (BigQuery, Dataflow, Pub/Sub) and hands-on with scalable data engineering pipelines
Good to have skills: Google BigQuery; GenAI/Vertex AI exposure, Cloud Data Architecture, PCA/PDE certifications
Experience with programming languages such as Python, SQL, and optionally Java or Scala
Understanding of data modeling, data warehousing, and distributed computing frameworks
Experience with AI/ML data pipelines, MLOps practices, and model deployment workflows
Familiarity with CI/CD and infrastructure-as-code tools (Terraform, Cloud Build, etc.) for data projects
Proven track record of building and scaling data systems for AI/ML initiatives

Responsibilities

Design and deliver technology architecture for a platform, product, or engagement; define solutions to meet performance, capability, and scalability needs
Design and develop scalable data pipelines and ETL processes using Google Cloud data services like BigQuery, Dataflow, Pub/Sub, and Dataproc
Build and optimize data architectures to support AI/ML applications and model training at scale
Collaborate with data scientists and ML engineers to implement data ingestion, feature engineering, and model-serving pipelines
Develop and manage data integration solutions that align with enterprise data governance and security standards
Support GenAI/Vertex AI model deployment by ensuring reliable data access and transformation pipelines
Implement monitoring, logging, and alerting for data workflows and ensure data quality across all stages
Enable self-service analytics by building reusable data assets and data marts for business stakeholders
Ensure cloud-native, production-grade data pipelines and participate in performance tuning and cost optimization

Skills

Key technologies and capabilities for this role

Google Cloud PlatformGoogle BigQueryDataflowPub/SubDataprocVertex AIETLData PipelinesAI/MLGenAI

Questions & Answers

Common questions about this position

What are the must-have skills for this Technology Architect role?

Must-have skills include Google Cloud Platform Architecture and strong experience in Google Cloud Data Services like BigQuery, Dataflow, and Pub/Sub, along with hands-on experience with scalable data engineering pipelines.

What is the minimum experience required for this position?

Minimum 3 year(s) of experience is required.

What programming languages are mentioned for this role?

Experience with programming languages such as Python, SQL, and optionally Java or Scala is required.

What is the employment type for this position?

The employment type is full time.

What good-to-have skills are listed for this role?

Good-to-have skills include Google BigQuery, GenAI/Vertex AI exposure, Cloud Data Architecture, and PCA/PDE certifications.

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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