Data Platform Architect

Accenture; Bengaluru; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Accenture in Bengaluru, Chennai, and Hyderabad seeks a Data Platform Architect to define and govern enterprise-scale Databricks-based solutions. You will lead architectural decisions, collaborate with Integration and Data Architects, and guide teams on best practices, security, and cost optimization.

You will architect end-to-end Databricks platforms, review designs, mentor engineers, and drive standardization while ensuring alignment with cloud strategy and business objectives across multiple

Qualifications

• 9–12 years of experience in data engineering, analytics or big data platforms with architecture ownership.
• Based at Bengaluru, Chennai, Hyderabad offices; candidate should be willing to work across these locations.
• 15 years of full-time education (or equivalent) required.

Responsibilities

• Act as the Azure Databricks Architecture Lead and SME across projects.
• Analyze business, data, and non-functional requirements and translate into end-to-end Databricks designs.
• Design scalable data ingestion, transformation, and analytics architectures using Azure Databricks, ADLS Gen2, and ADF.
• Define and govern cluster architecture, job design, and workload orchestration strategies.
• Establish and enforce data processing patterns including batch, incremental, and near-real-time pipelines.
• Drive adoption of medallion architecture standards for raw, curated, and serving layers.
• Ensure performance optimization, scalability, and cost efficiency through tuning and resource management.
• Define data security and governance practices including access control and secrets management.
• Review solution designs, notebooks, and deployment approaches for architectural compliance.
• Collaborate with enterprise architects, security teams, cloud infra teams, and stakeholders.
• Mentor team leads and senior engineers during design reviews and RCA activities.

Skills

Microsoft Azure Databricks

Cluster configuration

Job scheduling

Notebook optimization

Spark architecture

PySpark

Spark SQL

Education

15 years full time education

Tools

Azure Data Lake Storage Gen2

Delta Lake

Azure Data Factory

Job description

Project Role :

Data Platform Architect

Project Role Description :

Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.

Must have skills :

Microsoft Azure Databricks

Good to have skills :

NA

Educational Qualification :

15 years full time education

Minimum 7.5 year(s) of experience is required

Summary:

As a Microsoft Azure Databricks Architect, you will be responsible for defining, designing, and governing enterprise-scale data processing and analytics solutions using Azure Databricks. You will lead architectural decisions across multiple initiatives, ensuring alignment with business objectives, cloud strategy, performance, security, and cost optimization standards. Your role involves architecting end-to-end Databricks-based solutions, guiding teams on implementation best practices, reviewing technical designs, and driving standardization. You will collaborate closely with stakeholders, platform teams, and delivery leads while mentoring technical leaders and improving overall data platform maturity.

Roles & Responsibilities:

• Act as the Azure Databricks Architecture Lead and SME across projects and programs.
• Analyze business, data, and non-functional requirements and translate them into end-to-end Databricks architecture designs.
• Design scalable data ingestion, transformation, and analytics architectures using Azure Databricks, Azure Data Lake Storage Gen2, and Azure Data Factory.
• Define and govern cluster architecture, job design, and workload orchestration strategies.
• Establish and enforce data processing patterns including batch, incremental, and near-real-time pipelines.
• Drive adoption of medallion architecture standards for raw, curated, and serving layers.
• Ensure performance optimization, scalability, and cost efficiency through cluster tuning, job optimization, and resource management.
• Define data security and governance practices including access control, secrets management, and compliance standards.
• Review solution designs, notebooks, and deployment approaches for architectural compliance.
• Collaborate with enterprise architects, security teams, cloud infrastructure teams, and stakeholders on key decisions.
• Mentor team leads and senior engineers conduct design and architecture reviews.
• Provide architectural guidance during production incidents, RCA, and platform optimization initiatives.

Professional & Technical Skills:

• Must-Have Skills with Microsoft Azure Databricks as listed below
  • Cluster configuration and management
  • Job scheduling and orchestration
  • Notebook and workflow optimization
• Advanced expertise in Spark architecture, PySpark, and Spark SQL performance tuning.
• Strong proficiency in SQL for data transformations and analytics workloads.
• Deep understanding of data engineering and data warehousing concepts, including medallion architecture.
• Experience implementing secure, scalable, and governed Databricks platforms.
• Strong knowledge of cloud security, access control, and governance in Azure environments.
• Experience defining CI/CD and Databricks deployment strategies using Git-based workflows.
• Ability to evaluate architectural trade-offs across performance, cost, scalability, and maintainability.
• Strong experience with Azure Data Lake Storage Gen2 and Delta Lake.

Additional Information:

• The candidate should have 9-12 years of experience in data engineering, analytics, or big data platforms with architecture ownership.
• This position is based at our Bengaluru, Chennai, Hyderabad office.
• Minimum 15 years of full-time education (or equivalent).
• Drives architecture governance and technical standards across multiple teams.
• Responsible for platform scalability, stability, and optimization.
• Accountable for delivering robust, secure, and high-performance Databricks solutions.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at

www.accenture.com

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