Senior Data Architect - Oracle ERP, SAP & Databricks

Ernst & Young LLP ( EY India ); Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

EY in Bengaluru is seeking a Senior Data Architect to design and implement data quality solutions across Oracle ERP, SAP, and Databricks, leveraging PySpark to build robust ETL pipelines.

You will partner with stakeholders, lead data governance initiatives, and own data performance and cost in production, ensuring accurate and reliable data for analytics.

Qualifications

• Bachelor’s degree in computer science, IT, or related field; Master’s degree preferred.
• 12+ years as a Data Architect or similar role.
• Extensive knowledge of data quality principles in ERP/data lake contexts.
• Experience designing data quality solutions with Oracle ERP, SAP, and Databricks.
• Strong data governance, ETL, and PySpark capabilities.
• Excellent communication and collaboration skills.

Responsibilities

• Partner with stakeholders and data engineers to define data quality requirements for Oracle ERP, SAP, and Databricks.
• Design and implement data quality, cleansing, transformation, and validation processes.
• Develop and maintain data quality standards, policies, and procedures for ERP and Databricks.
• Select and implement compatible data quality tools and PySpark-based ETL components.
• Monitor data quality metrics across ERP, SAP, and Databricks pipelines.
• Develop data governance frameworks focusing on ERP, SAP, and Databricks data integration.
• Own data performance and cost for ETL frameworks in production.
• Collaborate with analysts and scientists to ensure high-quality data for analysis.
• Document data quality processes for future reference.
• Stay updated on trends in data quality technologies and best practices.

Skills

Data quality

Data governance

Oracle ERP

SAP

Databricks

PySpark

ETL development

Stakeholder collaboration

Communication

Big data

Education

Bachelor’s degree in Computer Science / Information Technology

Master’s degree preferred

Tools

Databricks

PySpark

Oracle ERP

SAP

Job description

MS-FDL-Data Operation Specialist At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

Job Title: Senior Data Architect

Summary: We are looking for highly skilled and experienced Senior Data Architect with extensive knowledge of Oracle ERP, SAP, and Databricks to join our team and play a crucial role in designing and implementing data quality solutions. You will be responsible for leading the development and implementation of strategies and processes to ensure the accuracy, completeness, and consistency of our data across the organization, specifically focusing on data within Oracle ERP and SAP systems, while leveraging the capabilities of Databricks for data processing and transformation, including building and maintaining ETL pipelines using PySpark.

Responsibilities

• Partner with business stakeholders and data engineers to understand data quality requirements and challenges specific to Oracle ERP, SAP systems, and within the context of big data processing using Databricks, including ETL development needs.
• Design and implement data quality solutions, including data cleansing, transformation, and validation processes for data originating from Oracle ERP, SAP, and processed within Databricks, utilizing PySpark for building and maintaining ETL pipelines.
• Develop and maintain data quality standards, policies, and procedures specifically tailored to Oracle ERP, SAP, and Databricks data integration, processing, and ETL development.
• Select and implement data quality tools and technologies compatible with Oracle ERP, SAP, and Databricks, including PySpark libraries and functionalities for ETL development within Databricks.
• Monitor and assess data quality metrics within Oracle ERP, SAP, and Databricks pipelines, including those related to ETL performance and data quality within ETL processes.
• Develop and implement data governance frameworks to ensure data quality and compliance, focusing on Oracle ERP, SAP, and Databricks data integration, processing, and ETL development.
• Own the data performance and cost for the ETL frameworks and jobs in production.
• Collaborate with data analysts and scientists to ensure data used in analysis from Oracle ERP, SAP, and processed through Databricks, including data transformed through ETL pipelines, is high-quality and reliable.
• Document data quality processes and solutions for future reference, specifically regarding Oracle ERP, SAP, and Databricks data integration, processing, and ETL development.
• Stay up to date on the latest trends and innovations in data quality technologies and best practices, particularly those relevant to Oracle ERP, SAP, Databricks, and PySpark for ETL development.

Qualifications

• Bachelor’s degree in computer science, Information Technology, or a related field (Master’s degree preferred).
• 12+ years of experience as a Data Architect or similar role.
• Extensive knowledge of data quality principles and methodologies as applied to Oracle ERP, SAP systems, and big data processing in Databricks.
• Experience in designing and implementing data quality solutions using various tools and technologies compatible with Oracle ERP, SAP, and Databricks (e.g., data profiling, data cleansing tools, data quality monitoring tools within Databricks).
• Strong understanding of Oracle ERP and SAP data models, functionalities, and integrations.
• Experience working with Oracle and SAP data extraction, transformation, and loading (ETL) processes.
• Experience and expertise in utilizing Databricks for data processing, transformation and analytics workflows, including building and maintaining ETL pipelines using PySpark.
• Familiarity with data quality best practices within the context of enterprise resource planning (ERP) systems and big data processing.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.

EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.