Data Platform Architect at Accenture

Hyderabad, Telangana, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Minimum 7.5 years of experience
15 years full-time education
Proficiency in Databricks Unified Data Analytics Platform (must-have)
Strong hands-on experience with PySpark and advanced SQL for large-scale data processing
Deep expertise in Databricks platform including notebooks, jobs, and Delta Lake
Solid experience with Azure cloud services: ADLS Gen2, Azure Data Factory (ADF), Azure Synapse, Key Vault, etc
Extensive experience in building and managing modern data platforms on Azure using Lakehouse architecture
Strong understanding of data integration techniques and best practices
Experience with cloud-based data solutions and architectures
Knowledge of Lakehouse architecture concepts, implementation, and governance
Experience in version control tools like Git and CI/CD pipelines
Excellent problem-solving and debugging skills
Strong communication and collaboration abilities across cross-functional teams
Familiarity with data governance frameworks and compliance requirements
Ability to design scalable and efficient data pipelines

Responsibilities

Architect the data platform blueprint and implement the design, encompassing relevant data platform components
Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models
Engage in discussions with stakeholders to gather requirements and provide insights that drive the overall data strategy
Act as a Subject Matter Expert (SME)
Collaborate and manage the team to perform
Be responsible for team decisions
Design, build, and optimize scalable data pipelines using Databricks, PySpark, and SQL on Azure
Implement Lakehouse architecture for structured data ingestion, processing, and storage
Build and manage Delta Lake tables and perform schema evolution and versioning
Work with Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), and Azure Synapse for data integration and transformation
Collaborate with data architects, analysts, and business teams to understand requirements and design efficient data solutions
Optimize performance of large-scale data pipelines and troubleshoot data quality or latency issues
Contribute to best practices around coding, testing, and data engineering workflows
Develop and maintain documentation related to data architecture and design

Skills

Key technologies and capabilities for this role

DatabricksPySparkSQLAzureLakehouseData PipelinesAzure Data Services

Questions & Answers

Common questions about this position

What are the must-have skills for the Data Platform Architect role?

Must-have skills include proficiency in Databricks Unified Data Analytics Platform, strong hands-on experience with PySpark and SQL, and expertise in Azure Data Services. Additional requirements are experience with Lakehouse architecture, Delta Lake tables, Azure Data Lake Storage (ADLS), Azure Data Factory (ADF), and Azure Synapse.

What is the minimum experience required for this position?

Minimum 7.5 years of experience is required.

What does a typical day look like for a Data Platform Architect at Accenture?

A typical day involves collaborating with Integration Architects and Data Architects for cohesive integration, addressing implementation challenges, and engaging with stakeholders to gather requirements and drive data strategy.

What are the key responsibilities of this role?

Responsibilities include designing and optimizing data pipelines using Databricks, PySpark, and SQL on Azure, implementing Lakehouse architecture, managing Delta Lake tables, working with Azure data services, collaborating with teams, optimizing performance, and maintaining documentation.

What education is required for the Data Platform Architect position?

15 years full time education is required.

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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