1779 Data Architecture Jobs - Page 23

Job Summary: We are seeking a highly skilled Data Engineer to design, develop, and maintain robust data pipelines and architectures. The ideal candidate will transform raw, complex datasets into clean, structured, and scalable formats that enable analytics, reporting, and business intelligence across the organization. This role requires strong collaboration with data scientists, analysts, and cross-functional teams to ensure timely and accurate data availability and system performance. Key Responsibilities Design and implement scalable data pipelines to support real-time and batch processing. Develop and maintain ETL/ELT processes that move, clean, and organize data from multiple sources. Build and manage modern data architectures that support efficient storage, processing, and access. Collaborate with stakeholders to understand data needs and deliver reliable solutions. Perform data transformation, enrichment, validation, and normalization for analysis and reporting. Monitor and ensure the quality, integrity, and consistency of data across systems. Optimize workflows for performance, scalability, and cost-efficiency. Support cloud and on-premise data integrations, migrations, and automation initiatives. Document data flows, schemas, and infrastructure for operational and development purposes. • Apply best practices in data governance, security, and compliance. Required Qualifications & Skills: Bachelors or Masters degree in Computer Science, Data Engineering, or a related field. Proven 6+ Years experience in data engineering, ETL development, or data pipeline management. Proficiency with tools and technologies such as: SQL, Python, Spark, Scala ETL tools (e.g., Apache Airflow, Talend) Cloud platforms (e.g., AWS, GCP, Azure) Big Data tools (e.g., Hadoop, Hive, Kafka) Data warehouses (e.g., Snowflake, Redshift, BigQuery) Strong understanding of data modeling, data architecture, and data lakes. Experience with CI/CD, version control, and working in Agile environments. Preferred Qualifications: • Experience with data observability and monitoring tools. • Knowledge of data cataloging and governance frameworks. • AWS/GCP/Azure data certification is a plus.

Role & responsibilities Experience: 10-14 years Key skills: Azure Data Architect sql data modeling dimension data modeling databricks or synapse

WHAT YOU'LL DO Build scalable data infrastructure solutions Design and optimize new and existing data pipelines Integrate new data sources into our existing data architecture Collaborate with a cross-functional product engineering teams and data stakeholders deliver on Codecademy’s data needs WHAT YOU'LL NEED 3 to 5 years of hands-on experience building and maintaining large scale ETL systems Deep understanding of database design and data structures. SQL, & NoSQL. Fluency in Python. Experience working with cloud-based data platforms (we use AWS) SQL and data warehousing skills -- able to write clean and efficient queries Ability to make pragmatic engineering decisions in a short amount of time Strong project management skills; a proven ability to gather and translate requirements from stakeholders across functions and teams into tangible results WHAT WILL MAKE YOU STAND OUT Experience with tools in our current data stack: Apache Airflow, Snowflake, dbt, FastAPI, S3, & Looker. Experience with Kafka, Kafka Connect, and Spark or other data streaming technologies Familiarity with the database technologies we use in production: Snowflake, Postgres, and MongoDB. Comfort with containerization technologies: Docker, Kubernetes, etc.

JD for Azure Databricks. Role name: Developer Role Description: ADB/ADF, PySparkProficiency with Azure services: Azure Databricks (Unity Catalog) Azure Data Factory, Azure Data lake storage, Azure Function and Logic App and Monitors.Programming Language: Python, PySpark and SQL for data processing.Strong SQL skills for querying, managing and optimizing relational and non-relational databases.Experience with Bigdata technology: Spark, Hadoop ecosystem.Expertise in building and managing ETL ( Extract, Transform, Load ) pipelinesData Modeling and designing scalable data architecture Competencies: Digital : Microsoft Azure, Digital : Databricks Experience (Years): 8-10 Essential Skills: ADB/ADF, PySparkProficiency with Azure services: Azure Databricks (Unity Catalog) Azure Data Factory, Azure Data lake storage, Azure Function and Logic App and Monitors.Programming Language: Python, PySpark and SQL for data processing.Strong SQL skills for querying, managing and optimizing relational and non-relational databases.Experience with Bigdata technology: Spark, Hadoop ecosystem.Expertise in building and managing ETL ( Extract, Transform, Load ) pipelinesData Modeling and designing scalable data architecture

Role & responsibilities Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Cloud Data Architecture Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Software Development Engineer, you will engage in a dynamic environment where you will analyze, design, code, and test various components of application code across multiple clients. Your typical day will involve collaborating with team members to perform maintenance and enhancements, ensuring that the applications meet the evolving needs of users while maintaining high standards of quality and performance. You will also be responsible for troubleshooting issues and implementing solutions that enhance the functionality and efficiency of the applications. 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. - Mentor junior team members to foster their professional growth and development. - Continuously evaluate and improve development processes to enhance team productivity. Professional & Technical Skills: - Must To Have Skills: Proficiency in Cloud Data Architecture. - Strong understanding of cloud computing principles and architecture. - Experience with data modeling and database design. - Familiarity with cloud service providers such as AWS, Azure, or Google Cloud. - Knowledge of application development frameworks and methodologies. Additional Information: - The candidate should have minimum 7.5 years of experience in Cloud Data Architecture. - This position is based at our Hyderabad office. - A 15 years full time education is required. Preferred candidate profile

About The Role Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code for multiple clients. Your day will involve collaborating with team members to ensure the successful implementation of software solutions, while also performing maintenance and enhancements to existing applications. You will be responsible for delivering high-quality code and contributing to the overall success of the projects you are involved in, ensuring that client requirements are met effectively and efficiently. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.- Conduct code reviews to ensure adherence to best practices and coding standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of database design principles and data architecture.- Experience with data integration and ETL processes.- Familiarity with data warehousing concepts and technologies.- Ability to analyze and optimize data models for performance. Additional Information:- The candidate should have minimum 3 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. Qualification 15 years full time education

About The Role Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Ab Initio Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Architect, you will design and deliver technology architecture for a platform, product, or engagement. Your typical day will involve collaborating with various teams to define solutions that meet performance, capability, and scalability needs, ensuring that the architecture aligns with the overall business objectives and technical requirements. You will engage in discussions with stakeholders to gather requirements, analyze existing systems, and propose innovative solutions that enhance the technology landscape. Your role will also include mentoring team members and providing guidance on best practices in technology architecture, fostering a culture of continuous improvement and collaboration within the team. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Evaluate and recommend new technologies to improve system performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Ab Initio.- Strong understanding of data integration and ETL processes.- Experience with performance tuning and optimization techniques.- Familiarity with cloud technologies and architecture.- Ability to design scalable and robust data architectures. Additional Information:- The candidate should have minimum 5 years of experience in Ab Initio.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 : PySpark Good to have skills : Python (Programming Language)Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in shaping the data platform components. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist with the data platform blueprint and design.- Collaborate with Integration Architects and Data Architects.- Ensure cohesive integration between systems and data models.- Implement data platform components effectively.- Provide insights for enhancing data platform performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in PySpark.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse Good to have skills : Python (Programming Language), Apache Spark, Databricks Unified Data Analytics PlatformMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with team members to identify data needs and optimize data workflows, contributing to the overall efficiency and effectiveness of data management within the organization. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the design and implementation of data architecture to support business needs.- Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Good To Have Skills: Experience with Databricks Unified Data Analytics Platform, Apache Spark, Python (Programming Language).- Strong understanding of data modeling and database design principles.- Experience with ETL tools and data integration techniques.- Familiarity with cloud data warehousing solutions and big data technologies. Additional Information:- The candidate should have minimum 3 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 : Alation Data Catalog Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with various teams to ensure that the integration between systems and data models is seamless, while also contributing to the overall architecture of the data platform. You will engage in discussions that shape the direction of data initiatives and work closely with Integration Architects and Data Architects to align on best practices and strategies for data management. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and discussions to gather requirements and feedback from stakeholders.- Mentor junior professionals in best practices and methodologies related to data architecture. Professional & Technical Skills: - Must To Have Skills: Proficiency in Alation Data Catalog.- Strong understanding of data governance and management principles.- Experience with data integration tools and techniques.- Familiarity with cloud data platforms and services.- Ability to design and implement data models that support business needs. Additional Information:- The candidate should have minimum 15 years of experience in Alation Data Catalog.- This position is based at our Kolkata office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : SAP Analytics Cloud DevelopmentMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing innovative solutions that enhance the overall functionality of the applications you work on. 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.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Good To Have Skills: Experience with SAP Analytics Cloud Development.- Strong understanding of database design principles and data architecture.- Experience with data integration and ETL processes.- Familiarity with data governance and data quality management. Additional Information:- The candidate should have minimum 12 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. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and guidance to your team members while continuously seeking opportunities for improvement and innovation in application development. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of data modeling and ETL processes.- Experience with SQL and data querying techniques.- Familiarity with cloud-based data solutions and architecture.- Ability to troubleshoot and optimize data workflows. Additional Information:- The candidate should have minimum 5 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 Building Tool Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Your role will require you to navigate complex data environments, providing insights and recommendations that drive effective data management and governance practices. 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.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous improvement.- Monitor and evaluate the performance of data platform components, making recommendations for enhancements and optimizations. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Building Tool.- Strong understanding of data architecture principles and best practices.- Experience with data integration techniques and tools.- Familiarity with cloud-based data platforms and services.- Ability to analyze and troubleshoot data-related issues effectively. Additional Information:- The candidate should have minimum 12 years of experience in Data Building Tool.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with the team to develop and implement solutions that align with the organization's goals and objectives. You will utilize your expertise in Databricks Unified Data Analytics Platform to create efficient and effective applications that enhance business processes and drive innovation. 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.- Expected to provide solutions to problems that apply across multiple teams.- Collaborate with stakeholders to gather requirements and understand business needs.- Design and develop applications using Databricks Unified Data Analytics Platform.- Configure and customize applications to meet specific business process requirements.- Perform code reviews and ensure adherence to coding standards.- Provide technical guidance and mentorship to junior team members. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Good To Have Skills: Experience with Microsoft Azure Data Services, Microsoft Azure Analytics Services.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 12 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Chennai office.- A Full Time Education is required. Qualification 15 years full time education

RED Global - Contact center data and AI Architect - 6 Months + Ext Contract - Start ASAP On behalf of our Global Key Partner, RED is currently looking for a Contact center data and AI Architect to join us.Contract details: Role: Contact center data and AI ArchitectDuration: 12 Months + ExtensionStart: ASAPLocation: RemoteLanguage: EnglishJob Descriptiont have Deep knowledge of Genesys (InfoMart, UCS, GAAP, SpeechMiner, WFM, Routing, etc.) and Five9 data ecosystemHaving knowledge on contact center migration to CCaaS and build data solution surrounding the migrationDefine data strategy for migrating historical and real-time data to the cloud while ensuring minimal disruption to downstream systems.Understand data models for Genesys (InfoMart, SpeechMiner) and develop mappings to cloud equivalents.Collaborate with data architects to ensure reporting continuity and regulatory compliance.Evaluate and recommend which data architecture that will minimize impact for downstream system during migration to CCaaSIdentify opportunities to enhance customer experience using AI-intent detection, virtual assistants, predictive routing, sentiment analysis, and more.Collaborate with internal AI\/ML teams to define data-driven automation use cases and implementation strategy.Work closely with IT, customer service operations, business teams, and external CCaaS vendorsParticipate in vendor evaluations and selection process for CCaaS and AI solutionsParticipate in various business stakeholders interview to understand their contact center need and also on downstream application impact

Role Overview: We are seeking an experienced Salesforce Architect to lead the design, implementation, and optimization of Salesforce solutions, ensuring scalability, security, and alignment with business objectives. The ideal candidate will have deep expertise in Salesforce core architecture , Core Clouds - Sales Cloud, Service Cloud , Experience Cloud and integration best practices . Experience in designing Field Service , B2B/B2B Commerce, CPQ, Data Cloud solutions will be an added advantage. Key Responsibilities: Architect & Design: Develop scalable and high-performance Salesforce solutions aligned with business needs. Field Service & Experience Cloud: Design and optimize Field Service and Experience Cloud solutions to enhance customer and field operations. Integration Strategy: Define and implement API and integration strategies with external applications, ensuring seamless data flow. Customization & Automation: Utilize Apex, Lightning Components, Flows, and Process Builder to enhance Salesforce functionalities. Data Governance & Security: Ensure best practices in data architecture, security, and compliance standards. Stakeholder Collaboration: Work closely with business leaders, developers, and admins to translate requirements into robust Salesforce solutions. Performance Optimization: Identify and resolve system performance issues, ensuring efficient system operation. Mentorship & Leadership: Guide developers and administrators, promoting best practices and knowledge sharing. Center of Excellence: Contribute to Practise Demo Assets, explore new capabilities and other practise initiatives Required Skills & Experience: 8+ years of Salesforce experience with a focus on architecture and solution design . Strong expertise in Salesforce Core Clouds (Sales, Service, and Experience Cloud) . Field Service Lightning (FSL) , B2B/B2B Commerce, CPQ, Data Cloud experience is a plus. Deep understanding of Salesforce data model, security, and sharing architecture & Platform Capabilities . Experience with API integrations (REST, SOAP), middleware, and external system connectivity . Proficiency in Apex, Visualforce, Lightning Web Components (LWC) , and declarative automation tools. Strong knowledge of CI/CD, DevOps, and version control tools like Git. Salesforce Architect certifications (Application Architect, System Architect, or Technical Architect) preferred. Experience in Solutioning end to end (Discovery to Golive) implementations Experience in providing solutions, POVs for RFPs & Pursuits Preferred Qualifications: Prior experience in designing community portals using Experience Cloud . Experience with Mulesoft or other integration platforms is a plus. Knowledge of enterprise architecture frameworks and best practices.

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : SAP Analytics Cloud DevelopmentMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while keeping abreast of the latest technologies and methodologies in application development. 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.- Mentor junior professionals to enhance their skills and knowledge.- Continuously evaluate and improve application performance and user experience. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Good To Have Skills: Experience with SAP Analytics Cloud Development.- Strong understanding of database design principles and data architecture.- Experience with data integration and ETL processes.- Familiarity with application development frameworks and methodologies. 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. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : SAP Analytics Cloud DevelopmentMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while keeping abreast of the latest technologies and methodologies in application development. 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.- Mentor junior professionals to enhance their skills and knowledge.- Continuously evaluate and improve application performance and user experience. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Good To Have Skills: Experience with SAP Analytics Cloud Development.- Strong understanding of database design principles and data architecture.- Experience with data integration and ETL processes.- Familiarity with data visualization tools and reporting techniques. Additional Information:- The candidate should have minimum 7.5 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. Qualification 15 years full time education

Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Data & AI Strategy Minimum 15 year(s) of experience is required Summary: As a Technology Architect, you will be responsible for designing and delivering technology architecture for a platform, product, or engagement. You will define solutions to meet performance, capability, and scalability needs, contributing to the success of the projects. Roles & Responsibilities: - Expected to be a SME with deep knowledge and experience. - Should have Influencing and Advisory skills. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Expected to provide solutions to problems that apply across multiple teams. - Lead technology discussions and provide strategic guidance. - Collaborate with stakeholders to understand business requirements. - Develop and maintain technology roadmaps for projects. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data & AI Strategy. - Strong understanding of data analytics and artificial intelligence. - Experience in designing and implementing data strategies. - Knowledge of emerging technologies in the data and AI domain. - Hands-on experience with data architecture and modeling. Additional Information: - The candidate should have a minimum of 15 years of experience in Data & AI Strategy. - This position is based at our Pune office.

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Ab Initio Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team through the development process. You will also engage in strategic planning to align application development with organizational goals, ensuring that the solutions provided are effective and efficient. 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.- Mentor junior team members to enhance their skills and knowledge.- Facilitate regular team meetings to discuss progress and address any roadblocks. Professional & Technical Skills: - Must To Have Skills: Proficiency in Ab Initio.- Strong understanding of data integration and ETL processes.- Experience with performance tuning and optimization of applications.- Familiarity with data warehousing concepts and methodologies.- Ability to troubleshoot and resolve application issues effectively. Additional Information:- The candidate should have minimum 7.5 years of experience in Ab Initio.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role 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 Building Tool Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. 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.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor and evaluate team performance to ensure alignment with project goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Building Tool.- Strong understanding of data modeling and architecture principles.- Experience with data integration techniques and tools.- Familiarity with cloud-based data platforms and services.- Ability to troubleshoot and resolve data-related issues efficiently. Additional Information:- The candidate should have minimum 5 years of experience in Data Building Tool.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : Data & AI Strategy Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Architect, you will be responsible for designing and delivering technology architecture for a platform, product, or engagement. You will define solutions to meet performance, capability, and scalability needs, contributing to the success of the projects. Roles & Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead technology discussions and provide strategic guidance.- Collaborate with stakeholders to understand business requirements.- Develop and maintain technology roadmaps for projects. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data & AI Strategy.- Strong understanding of data analytics and artificial intelligence.- Experience in designing and implementing data strategies.- Knowledge of emerging technologies in the data and AI domain.- Hands-on experience with data architecture and modeling. Additional Information:- The candidate should have a minimum of 15 years of experience in Data & AI Strategy.- This position is based at our Pune office.- A 15 years full-time education is required. Qualification 15 years full time education

About this role: Wells Fargo is seeking for a candidate who is responsible for overseeing enterprise data governance, quality and integrity initiatives. The candidate should collaborate with the business and technology partners to ensure the data is accurate, consistent, accessible and aligned with business needs. the role combines deep technical skills, strategic thinking, cross functional leadership and hands-on problem solving. In this role, you will: Organize and lead complex companywide initiatives to ensure that data quality is maintained so that data can effectively support business processes Oversee analysis and reporting in support of regulatory requirements Identify and recommend analysis of data quality or integrity issues Evaluate data quality metrics and data quality audits to benchmark the state of data quality Make decisions in complex and multi-faceted situations requiring solid understanding of data governance standards and procedures Identify new data sources and develop recommendations for assessing the quality of new data Lead project teams and mentor less experienced staff members Recommend remediation of process or control gaps that align to management strategy Serve as relationship manager for a line of business Consult with and provide recommendations to senior management regarding assessments of the current state of data and metadata quality within area of assigned responsibility Represent client in cross-functional groups to develop companywide data governance strategies Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to coordinate and drive collaboration on solution design and remediation execution Required Qualifications: 5+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Lead efforts through phases of a large enterprise project; requirements, design, implementation, testing, and end-state product management Lead complex data product initiatives, including those that are cross-functional with broad impact, and act as key participant in large-scale planning driving data enablement and capabilities across platforms and utilities Review and analyze complex multi-faceted, larger scale or longer-term data product initiatives that require in-depth evaluation of multiple factors, including intangibles or unprecedented factors to drive data enablement strategies and roadmaps, while adhering to set data governance and standards Make decisions in complex and multi-faceted situations requiring solid understanding of data, analytics, and integration needs of line of business partners to inform prioritization, roadmap, and architecture design, that influence and lead broader work team to meet deliverables and drive new initiatives Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to ensure data product solutions are built for optimal performance and design analytics applications across multiple platforms, resolve data product issues, and achieve goals; may lead projects, teams or serve as a peer mentor Provide strategic input on new use case intake, prioritization, product roadmap definition, and other critical business processes Manage complex datasets continuously focusing on the consumers of the data and their business needs, while adhering to set data governance Create and maintain data product roadmaps throughout the data product life cycle with detailed specifications, requirements, and flows for data capabilities Design and maintain innovative data products, enabling data availability for data intelligence, analytics, and reporting Serve as a strategic liaison between data management, product teams, data engineering, and architecture teams throughout the data product life cycle Skills: SQL - Teradata, Snowflake Python, Regression & Clustering, Alteryx & LLM Job Expectations: Lead development and implementation of data management strategies across business units. Ensure consistent data definition and usage across systems. Mentor and guide data analysts, enforcing best practices in data handling Collaborate with data engineers and architects to optimize data flow and storage. Oversee processes for data profiling, validation, cleansing and enrichment Identify, investigate and resolve data quality issues through root cause analysis Support data integration efforts and data architecture review

We have an exciting opportunity for you to lead product delivery and drive innovation in customer experiences. As a Product Delivery Manager for the Data Platform team within Data & Analytics, you shape the future of product delivery while crafting solutions that enhance and optimize customer experiences. You create solutions and efficiencies that enable successful implementation of products in a scalable and organized way. In this dynamic environment, you ensure smooth product delivery and support change initiatives, marking a significant step in your career growth and innovation journey. Job Responsibilities Develop product vision and transform product strategy into market-ready products, while navigating complex challenges. Manage discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap. Develop and maintain a product backlog that enables delivery of product roadmap and value proposition. Build a framework that defines key metrics for product success and measure outcomes against product goals. Collaborate with cross-functional teams (Product, Technology, Design, Data) to continuously deliver value to users. Guide agile product management by creating user stories and authoring detailed product specifications. Lead change management activities across cross-functional partners and ensure adherence to risk, controls, compliance, and regulatory requirements. Required Qualifications, Capabilities, and Skills MBA degree from a top-tier business school. 10+ years of experience in product management or a relevant Banking domain area. Demonstrated ability to execute operational management and change readiness activities. Strong understanding of delivery and a proven track record of implementing continuous improvement processes. Experienced in product lifecycle management or platform-wide release management. Understanding of data flows and data management techniques for diverse data types. Strong understanding of agile software development with familiarity working with Bitbucket, Confluence, and Jira. Preferred Qualifications, Capabilities, and Skills Prior experience in building data architecture to source data from different systems. Strong analytical skills in forecasting and interpreting results with large quantities of data. Experience in business analysis, process analysis/mapping, data governance or data analysis activities. Knowledge of AWS and Working knowledge of Snowflake or other enterprise database platforms is beneficial. We have an exciting opportunity for you to lead product delivery and drive innovation in customer experiences. As a Product Delivery Manager for the Data Platform team within Data & Analytics, you shape the future of product delivery while crafting solutions that enhance and optimize customer experiences. You create solutions and efficiencies that enable successful implementation of products in a scalable and organized way. In this dynamic environment, you ensure smooth product delivery and support change initiatives, marking a significant step in your career growth and innovation journey. Job Responsibilities Develop product vision and transform product strategy into market-ready products, while navigating complex challenges. Manage discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap. Develop and maintain a product backlog that enables delivery of product roadmap and value proposition. Build a framework that defines key metrics for product success and measure outcomes against product goals. Collaborate with cross-functional teams (Product, Technology, Design, Data) to continuously deliver value to users. Guide agile product management by creating user stories and authoring detailed product specifications. Lead change management activities across cross-functional partners and ensure adherence to risk, controls, compliance, and regulatory requirements. Required Qualifications, Capabilities, and Skills MBA degree from a top-tier business school. 10+ years of experience in product management or a relevant Banking domain area. Demonstrated ability to execute operational management and change readiness activities. Strong understanding of delivery and a proven track record of implementing continuous improvement processes. Experienced in product lifecycle management or platform-wide release management. Understanding of data flows and data management techniques for diverse data types. Strong understanding of agile software development with familiarity working with Bitbucket, Confluence, and Jira. Preferred Qualifications, Capabilities, and Skills Prior experience in building data architecture to source data from different systems. Strong analytical skills in forecasting and interpreting results with large quantities of data. Experience in business analysis, process analysis/mapping, data governance or data analysis activities. Knowledge of AWS and Working knowledge of Snowflake or other enterprise database platforms is beneficial.

About The Role Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Data Architecture Principles Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Architect, you will define the data requirements and structure for the application. Model and design the application data structure, storage, and integration. Be involved in creating innovative data solutions and collaborating with cross-functional teams to drive data architecture decisions. Roles & Responsibilities:- Expected to be a SME with deep knowledge and experience.- Should have Influencing and Advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead data architecture discussions and decisions within the organization.- Develop and maintain data models, data dictionaries, and data standards.- Collaborate with stakeholders to understand data requirements and ensure data solutions meet business needs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Architecture Principles.- Strong understanding of data modeling and database design.- Experience in data integration and data management.- Knowledge of data governance and data quality best practices.- Hands-on experience with data architecture tools and technologies. Additional Information:- The candidate should have a minimum of 15 years of experience in Data Architecture Principles.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education