Job Overview

Accenture is hiring a Cloud Platform Engineer for a full-time role in Hyderabad, Telangana. This opportunity is designed for professionals with 2 to 5 years of experience who have hands-on expertise in the Databricks Unified Data Analytics Platform. The role focuses on designing, building, testing, and deploying cloud application solutions that connect cloud environments with traditional or on-premises infrastructure.

The position combines cloud platform engineering, architecture validation, infrastructure management, security, performance, and operational reliability. You will contribute to solutions that need to work efficiently across different technology environments while helping teams assess whether proposed architectures can meet technical, security, and performance expectations.

A major focus of this role is Databricks Unified Data Analytics Platform. Candidates should have at least 2 years of practical experience with the platform. The role also expects an understanding of cloud infrastructure deployment, scalable architecture, cloud security, performance validation, and integration between cloud and non-cloud systems.

Key Responsibilities

• Design and develop cloud-based application and platform solutions that integrate cloud and traditional infrastructure.
• Build, test, and deploy cloud environments and application solutions according to technical and business requirements.
• Create proof-of-architecture implementations to validate the feasibility, security, scalability, and performance of proposed solutions.
• Work with Databricks Unified Data Analytics Platform as a core part of cloud and data-oriented platform requirements.
• Monitor cloud infrastructure and identify opportunities to improve availability, reliability, and performance.
• Evaluate cloud environments through appropriate testing and validation activities.
• Help integrate cloud services with non-cloud or on-premises environments.
• Participate actively in technical discussions and contribute practical solutions to project challenges.
• Work independently on assigned engineering responsibilities while developing deeper expertise and subject-matter knowledge.
• Document architectural decisions, platform designs, implementation approaches, and deployment processes.
• Collaborate with cross-functional teams to coordinate cloud and infrastructure integration activities.
• Share knowledge with junior engineers and help them understand cloud platform concepts and engineering practices.

Required Skills

The primary technical requirement for this opportunity is proficiency in Databricks Unified Data Analytics Platform. Candidates should have a minimum of 2 years of experience using the platform in professional environments.

You should also understand cloud infrastructure deployment and management and be comfortable working with architectures designed for reliability, scalability, and high performance. Knowledge of cloud security principles is important because platform environments must be designed and operated with appropriate security practices.

The role requires the ability to assess technical solutions through testing and validation. Candidates should be able to identify performance considerations, understand infrastructure dependencies, and contribute to solutions that integrate cloud and non-cloud environments effectively.

Strong troubleshooting and analytical skills are useful for identifying platform issues and improving infrastructure performance. A practical understanding of cloud application architecture and deployment processes will help you contribute effectively from design through implementation.

Preferred Skills

The job posting does not specify additional good-to-have technologies. Candidates may strengthen their profile by demonstrating broader exposure to cloud platform engineering, architecture design, infrastructure deployment, security practices, performance testing, and enterprise system integration, provided these skills are genuinely part of their experience.

Experience participating in architecture discussions, preparing technical documentation, mentoring colleagues, or independently resolving cloud-related engineering challenges can also be valuable when presenting your background.

Education

A minimum of 15 years of full-time education is required for this position. The job description does not specify a particular degree specialization beyond the stated education requirement.

Experience

The role is listed for professionals with 2 to 5 years of experience. In addition, candidates must have at least 2 years of experience with Databricks Unified Data Analytics Platform. Relevant experience should demonstrate practical involvement in cloud infrastructure, platform deployment, architecture validation, or related engineering activities.

Required Technologies

• Databricks Unified Data Analytics Platform
• Cloud infrastructure
• Cloud application platforms
• Cloud and non-cloud integration
• Cloud security
• Performance testing and validation

Databricks Unified Data Analytics Platform is the mandatory technology specifically identified in the job posting and should therefore be prominent in a candidate's resume.

Soft Skills

Successful candidates should be independent, analytical, collaborative, and comfortable communicating technical information. The position expects active participation in team discussions and the ability to contribute useful solutions to work-related problems.

Clear documentation and knowledge sharing are also important. Engineers should be able to explain architectural decisions and deployment processes in a way that helps other team members understand and support the platform. A willingness to assist junior colleagues and develop subject-matter expertise can further support success in the role.

Benefits of Working in this Role

The provided job description does not specify company-specific salary details or employee benefits for this particular position. The role does provide professional exposure to cloud platform engineering, Databricks, architecture validation, cloud security, infrastructure deployment, and integration between cloud and traditional environments.

Work Mode

The job description states that the position is based at the HDC3C - SEZ location in Hyderabad. It does not explicitly identify the role as hybrid or remote, so the role is classified here as onsite based on the stated office location.

Location

Hyderabad, Telangana, India, at the HDC3C - SEZ location.

Who Should Apply

This opportunity is suitable for cloud engineers, platform engineers, and software professionals with 2 to 5 years of experience who have at least 2 years of hands-on experience with Databricks Unified Data Analytics Platform.

Candidates should be able to demonstrate experience with cloud infrastructure deployment and management, scalable and reliable architecture, cloud security, performance validation, and integration between cloud and non-cloud environments. Professionals who enjoy solving infrastructure problems, participating in technical discussions, documenting solutions, and supporting team members may find this role well aligned with their experience.

Career Growth

This position can help engineers deepen their skills in cloud platform engineering, Databricks, architecture design, infrastructure management, and enterprise cloud integration. Experience gained in these areas can support future opportunities such as Senior Cloud Platform Engineer, Cloud Architect, Databricks Engineer, Data Platform Engineer, or related cloud and platform engineering roles, depending on individual skills and career direction.

Application Advice

When preparing your application, make your Databricks Unified Data Analytics Platform experience easy to identify. Clearly state how long you have worked with Databricks and describe relevant responsibilities involving cloud infrastructure, platform deployment, data or application environments, architecture validation, or performance testing.

Also highlight experience with cloud security, scalable architecture, monitoring, infrastructure optimization, and cloud-to-on-premises integration where applicable. Use specific project examples to demonstrate how you contributed to reliable and secure cloud solutions rather than listing technologies without context.

Because the role expects independent contribution and subject-matter growth, mention examples of ownership, technical problem solving, documentation, team collaboration, and knowledge sharing. Ensure that your education details accurately reflect the requirement for 15 years of full-time education.