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Design, build, and operate batch and real-time data ingestion and transformation pipelines. Develop platform components (storage, compute, pipelines), monitoring, alerting, and data-quality tooling. Diagnose production issues, participate in on-call rotations, and build AI-powered agents to automate engineering and operational tasks.
Top Skills:
AirflowApache IcebergDelta LakeHudiKafkaPythonSnowflakeSpark Structured StreamingSQL
Fintech • Financial Services
Design, build, and scale a data-intensive platform using Databricks, Spark, Starburst/Trino, and modern ETL/ELT patterns. Implement data lakes/warehouses, data mesh domains, OLTP/ODS solutions, data quality and lineage. Integrate AI agents, configure MCP servers, apply RAG with vector databases, and enable LLM-driven data tooling for analytics and automation.
Top Skills:
Ab InitioAirflowChromadbClaudeData LakeData MeshData VirtualizationData WarehouseDatabricksEltETLFlinkGeminiHadoopJavaLlama)Llms (OpenaiModel Context Protocol (Mcp)MongoDBOraclePineconePl/SqlPythonRagRedshiftScalaSnowflakeSparkStarburstTalendTrinoUnix ShellVector DatabasesWeaviate
Fintech • Financial Services
Lead design and build of a scalable data-intensive platform using data virtualization, federation, lakes/warehouses, and real-time pipelines. Integrate AI agents, MCP servers, RAG and vector databases to enable LLM-driven data tooling. Optimize ETL/ELT, data modeling, quality, lineage, and database tuning across distributed systems.
Top Skills:
Ab InitioAirflowChromadbClaudeData LakeData MeshData WarehouseDatabricksEltETLFlinkGeminiHadoopJavaLlama)Llms (OpenaiModel Context Protocol (Mcp)MongoDBOraclePineconePl/SqlPythonRedshiftScalaSnowflakeSparkStarburstTalendTrinoUnix ShellWeaviate
Project Role : Data Platform Engineer
Project Role Description : Assists with the data platform blueprint and 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 : Data Modeling Techniques and Methodologies
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Platform Engineer, a typical day involves contributing to the development and refinement of the data platform blueprint and design, ensuring that all relevant components are effectively incorporated. This role requires close collaboration with Integration Architects and Data Architects to maintain seamless integration between various systems and data models. The position demands continuous engagement with multiple stakeholders to align platform capabilities with organizational needs, fostering a cohesive and efficient data environment that supports business objectives and technological advancements.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead efforts to optimize data platform architecture to enhance performance and scalability.
- Facilitate knowledge sharing and mentorship within the team to support professional growth.
- Coordinate cross-functional initiatives to ensure alignment of data strategies across departments.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.
- Strong expertise in designing and implementing scalable data models that support complex business requirements.
- Experience with data integration strategies to ensure consistency and reliability across platforms.
- Ability to analyze and troubleshoot data platform issues to maintain system integrity and performance.
- Familiarity with data governance principles to ensure compliance and data quality standards.
- Skilled in collaborating with architects and engineers to translate business needs into technical solutions.
Additional Information:
- The candidate should have minimum 5 years of experience in Data Modeling Techniques and Methodologies.
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
15 years full time education
Project Role Description : Assists with the data platform blueprint and 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 : Data Modeling Techniques and Methodologies
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Platform Engineer, a typical day involves contributing to the development and refinement of the data platform blueprint and design, ensuring that all relevant components are effectively incorporated. This role requires close collaboration with Integration Architects and Data Architects to maintain seamless integration between various systems and data models. The position demands continuous engagement with multiple stakeholders to align platform capabilities with organizational needs, fostering a cohesive and efficient data environment that supports business objectives and technological advancements.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead efforts to optimize data platform architecture to enhance performance and scalability.
- Facilitate knowledge sharing and mentorship within the team to support professional growth.
- Coordinate cross-functional initiatives to ensure alignment of data strategies across departments.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.
- Strong expertise in designing and implementing scalable data models that support complex business requirements.
- Experience with data integration strategies to ensure consistency and reliability across platforms.
- Ability to analyze and troubleshoot data platform issues to maintain system integrity and performance.
- Familiarity with data governance principles to ensure compliance and data quality standards.
- Skilled in collaborating with architects and engineers to translate business needs into technical solutions.
Additional Information:
- The candidate should have minimum 5 years of experience in Data Modeling Techniques and Methodologies.
- This position is based at our Hyderabad office.
- A 15 years full time education is required.
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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Accenture Mahārāshtra, IND Office
India
Accenture Pune, Mahārāshtra, IND Office
Building B-1, Magarpatta City (SEZ, Mundhwa Rd, Magarpatta, Hadapsar, Pune, Maharashtra, India, 411013
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
