112 Data Architect Jobs

Roles and responsibilities Work closely with the Product Owners and stake holders to design the Technical Architecture for data platform to meet the requirements of the proposed solution. Work with the leadership to set the standards for software engineering practices within the machine learning engineering team and support across other disciplines Play an active role in leading team meetings and workshops with clients. Choose and use the right analytical libraries, programming languages, and frameworks for each task. Help the Data Engineering team produce high-quality code that allows us to put solutions into production Create and own the technical product backlogs for products, help the team to close the backlogs in right time. Refactor code into reusable libraries, APIs, and tools. Help us to shape the next generation of our products. What Were Looking For Total experience in data management area for 10 + years’ experience in the implementation of modern data ecosystems in AWS/Cloud platforms. Strong experience with AWS ETL/File Movement tools (GLUE, Athena, Lambda, Kinesis and other AWS integration stack) Strong experience with Agile Development, SQL Strong experience with Two or Three AWS database technologies (Redshift, Aurora, RDS,S3 & other AWS Data Service ) covering security, policies, access management Strong programming Experience with Python and Spark Strong learning curve for new technologies Experience with Apache Airflow & other automation stack. Excellent with Data Modeling. Excellent oral and written communication skills. A high level of intellectual curiosity, external perspective, and innovation interest Strong analytical, problem solving and investigative skills Experience in applying quality and compliance requirements. Experience with security models and development on large data sets

DATA ARCHITECT- Data Architecture, Big Data, Data Modeling, or Database Administration, any DBMS,Oracle/SQL Server/PostgreSQL/MySQL Database Expert-Database Mgmt, SQL, Data Modeling, Data Warehousing, ETL, any DBMS Oracle/SQL Server/PostgreSQL/MySQL

Additional Career Level Description Knowledge and application Applies advanced wide-ranging experience and in-depth professional knowledge to develop and resolve complex models and procedures in creative way . Directs the application of existing principles and guides development of new policies and ideas. Determines own methods and procedures on new assignments . Problem solving Understands and works on complex issues where analysis of situation or data requires an in-depth evaluation of variable factors, solutions may need to be devised from limited informatio n. Exercises judgment in selecting methods, evaluating, adapting of complex techniques and evaluation criteria for obtaining results. Interaction Frequently advises key people outside own area of expertise on complex matters, using persuasion in delivering messages. Impact Develops and manages operational initiatives to deliver tactical results and achieve medium-term goals. Accountability May be accountable through team for delivery of tactical business targets . Work is reviewed upon completion and is consistent with departmental objectives.

Skill Name : SQL Server 2012/SQL Server Engineer (5 - 10 years) Work Location : Bangalore (preferred) / Any Deloitte USI location Key responsibilities: Understand customer use case, available data to prepare for automated & ongoing data ingestion to meet customer requirements • Design technical solution with all data ingestion, transformation & scheduling to review & sign-off with customer • Play role of the tech lead and responsible for end-to-end technical solutions • Identifying AEP enhancements, extending frameworks and incorporating new ideas • Closely collaborating with other AEP team members (sales teams, engineers, consultants) and onshore teams for delivering projects • Enterprise level software development leveraging Big Data, Cloud technologies & Python • Building/operating highly scalable, fault tolerant, distributed systems for extraction, ingestion to process large data sets • Experience with data analysis, modeling and mapping to coordinate closely with Data Architect(s) • Build the necessary schemas, workflows to ingest customers data into AEP successfully • Create necessary identity namespaces, privacy settings and merge poilicys required to build the solution • Build Audiences (segmentations) and create necessary pipeline for Destination activation • Deploying the final solution to a production environment (or end-state environment) • Post-Deployment, provide ongoing maintenance & support of solution & knowledge transfer to offshore support team

As a Data Architect, you'll design and optimize data architecture to ensure data is accurate, secure, and accessible. you'll collaborate across teams to shape the data strategy, implement governance, and promote best practices enabling the business to gain insights, innovate, and make data-driven decisions at scale. Your responsibilites Responsible for defining the enterprise data architecture which streamlines, standardises, and enhances accessibility of organisational data. Elicits data requirements from senior Business stakeholders and the broader IS function, translating their needs into conceptual, logical, and physical data models. Oversees the effective integration of data from various sources, ensuring data quality and consistency. Monitors and optimises data performance, collaborating with Data Integration and Product teams to deliver changes that improve data performance. Supports the Business, Data Integration Platforms team and wider IS management to define a data governance framework that sets out how data will be governed, accessed, and secured across the organisation; supports the operation of the data governance model as a subject matter advisor. Provides advisory to Data Platform teams in defining the Data Platform architecture, providing advisory on metadata, data integration, business intelligence, and data storage needs. Supports the Data Integration Platforms team, and other senior IS stakeholders to define a data vision and strategy, setting out how the organisation will exploit its data for maximum Business value. Builds and maintains a repository of data architecture artefacts (eg, data dictionary). What we're Looking For Proven track record in defining enterprise data architectures, data models, and database/data warehouse solutions. Evidenced ability to advise on the use of key data platform architectural components (eg, Azure Lakehouse, Data Bricks, etc) to deliver and optimise the enterprise data architecture. Experience in data integration technologies, real-time data ingestion, and API-based integrations. Experience in SQL and other database management systems. Strong problem-solving skills for interpreting complex data requirements and translating them into feasible data architecture solutions and models. Experience in supporting the definition of an enterprise data vision and strategy, advising on implications and/or uplifts required to the enterprise data architecture. Experience designing and establishing data governance models and data management practices, ensuring data is correct and secure whilst still being accessible, in line with regulations and wider organisational policies. Able to present complex data-related initiatives and issues to senior non-data conversant audiences. Proven experience working with AI and Machine Learning models preferred, but not essential. What We Can Offer You We support your growth within the role, department, and across the company through internal opportunities. We offer a hybrid working model, allowing you to combine remote work with the opportunity to connect with your team in modern, welcoming office spaces. We encourage continuous learning with access to online platforms (eg, LinkedIn Learning), language courses, soft skills training, and various we'llbeing initiatives, including workshops and webinars. Join a diverse and inclusive work environment where your ideas are valued and your contributions make a difference.

Job Role & responsibilities: - Understanding operational needs by collaborating with specialized teams Supporting key business operations. This involves architecture designing, building and deploying data systems, pipelines etc Designing and implementing agile, scalable, and cost efficiency solution on cloud data services. Lead a team of developers, implement Sprint planning and executions to ensure timely deliveries Technical Skill, Qualification & experience required:- 9-11 years of experience in Cloud Data Engineering. Experience in Azure Cloud Data Engineering, Azure Databricks, datafactory , Pyspark, SQL,Python Hands on experience in Data Engineer, Azure Databricks, Data factory, Pyspark, SQL Proficient in Cloud Services Azure Architect and implement ETL and data movement solutions. Bachelors/Master's Degree in Computer Science or related field Design and implement data solutions using medallion architecture, ensuring effective organization and flow of data through bronze, silver, and gold layers. Optimize data storage and processing strategies to enhance performance and data accessibility across various stages of the medallion architecture. Collaborate with data engineers and analysts to define data access patterns and establish efficient data pipelines. Develop and oversee data flow strategies to ensure seamless data movement and transformation across different environments and stages of the data lifecycle. Migrate data from traditional database systems to Cloud environment Strong hands-on experience for working with Streaming dataset Building Complex Notebook in Databricks to achieve business Transformations. Hands-on Expertise in Data Refinement using Pyspark and Spark SQL Familiarity with building dataset using Scala. Familiarity with tools such as Jira and GitHub Experience leading agile scrum, sprint planning and review sessions Good communication and interpersonal skills * Immediate Joiners will be preferred only

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail

IT & Technology Senior Manager Data Analytics Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail Experience: Minimum 8 Years Of Experience

IT & Technology Senior Manager Data Analytics Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail Experience: Minimum 8 Years Of Experience

KPI Partners, a leader in providing analytics and data management solutions, is seeking a highly skilled **Senior Data Architect** to join our dynamic team. This position offers an exciting opportunity to work on innovative data solutions that drive business value for our clients. You will be responsible for designing, developing, and implementing data architectures that align with our organizational goals and client requirements. Key Responsibilities: - Lead the design and implementation of data architecture solutions, ensuring alignment with best practices and compliance standards. - Develop comprehensive data models to support different business applications and analytical needs. - Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. - Oversee the integration of SAP and other data sources into the Datasphere platform. - Create strategies for data governance, quality assurance, and data lifecycle management. - Ensure scalability and performance of data systems through efficient architecture practices. - Mentor and guide junior data professionals in data architecture and modeling best practices. - Stay updated with industry trends and emerging technologies in data architecture and analytics. Required Skills: - 9 to 12 years of experience in data architecture, data modeling, and data management. - Strong expertise in SAP systems and data integration processes. - Proficient in DataSphere or similar data management platforms. - Solid understanding of data governance, data warehousing, and big data technologies. - Excellent analytical and problem-solving abilities. - Strong communication skills to engage with technical and non-technical stakeholders. - Ability to work independently and as part of a team in a fast-paced environment. Preferred Qualifications: - bachelors or masters degree in computer science, Information Systems, or a related field. - Relevant certifications in data architecture or SAP technologies. - Experience in cloud data solutions and platform migrations is a plus. What We Offer: - Competitive salary and benefits package. - Opportunities for professional growth and development. - A collaborative work environment fostering innovation and creativity. - The chance to work with cutting-edge technology and notable clients.

Develop and deliver detailed technology solutions through consulting project activities. Evaluate and recommend emerging cloud data technologies and tools to drive innovation and competitive advantage, with a focus on Azure services such as Azure Data Lake, Azure Synapse Analytics, and Azure Databricks. Lead the design and implementation of cloud-based data architectures using Azure and Databricks to support the companys strategic initiatives and exploratory projects. Collaborate with cross-functional teams to understand business requirements, architect data solutions, and drive the development of innovative data platforms and analytics solutions. Define cloud data architecture standards, best practices, and guidelines to ensure scalability, reliability, and security across the organization. Design and implement data pipelines, ETL processes, and data integration solutions to ingest, transform, and load structured and unstructured data from multiple sources into Azure data platforms. Provide technical leadership and mentorship to junior team members, fostering a culture of collaboration, continuous learning, and innovation in cloud data technologies. Collaborate with Azure and Databricks experts within the organization and the broader community to stay abreast of the latest developments and best practices in cloud data architecture and analytics.

Position Summary Experienced Senior Data Engineer utilizing Big Data & Gogle Cloud technologies to develop large scale, on-cloud data processing pipelines and data warehouses. What you ll do Consult customers across the world on their data engineering needs around Adobes Customer Data Platform. Support pre-sales discsusions around complex and large scale cloud, data engineering solutions. Design custom solutions on cloud integrating Adobes solutions in scalable and performant manner. Deliver complex, large scale, enterprise grade on-clould data engineer and integration solutions in hand-on manner. Good to have Experience of consulting India customers. Multi-cloud expertise preferable AWS and GCP EXPERIENCE 12-14 Years SKILLS Primary Skill: Data Engineering Sub Skill(s): Data Engineering Additional Skill(s): Python, BigQuery

Experience: 9 - 12 Years Location: Bangalore / Hyderabad Notice Period: Immediate to 15 Days Overview We are looking for a highly experienced and strategic Snowflake Data Architect to lead the transformation and modernization of our data architecture. You will be responsible for designing scalable, high-performance data solutions and ensuring seamless data quality and integration across the organization. This role requires close collaboration with data modelers, business stakeholders, governance teams, and engineers to develop robust and efficient data architectures. This is an excellent opportunity to join a dynamic, innovation-driven environment with significant room for professional growth. We encourage initiative, creative problem-solving, and a proactive approach to optimizing our data ecosystem. Responsibilities Architect, design, and implement scalable data solutions using Snowflake . Build and maintain efficient data pipelines using SQL and ETL tools to integrate data from multiple ERP and other source systems. Leverage data mappings, modeling (2NF/3NF) , and best practices to ensure consistent and accurate data structures. Collaborate with stakeholders to gather requirements and design data models that support business needs. Optimize and debug complex SQL queries and ensure performance tuning of pipelines. Create secure, reusable, and maintainable components for data ingestion and transformation workflows. Implement and maintain data quality frameworks , ensuring adherence to governance standards. Lead User Acceptance Testing (UAT) support, production deployment activities, and manage change requests. Produce comprehensive technical documentation for future reference and auditing purposes. Provide technical leadership in the use of cloud platforms (Snowflake, AWS) and support teams through knowledge transfer. Requirements Bachelor s degree in Computer Science, Information Technology, or a related field. 9 to 12 years of overall experience in data engineering and architecture roles. Strong, hands-on expertise in Snowflake with a solid understanding of its advanced features. Proficient in advanced SQL with extensive experience in data transformation and pipeline optimization . Deep understanding of data modeling techniques , especially 2NF/3NF normalization . Experience with cloud-native platforms , especially AWS (S3, Glue, Lambda, Step Functions) is highly desirable. Knowledge of ETL tools (Informatica, Talend, etc.) and working in agile environments . Familiarity with structured deployment workflows (e.g., Carrier CAB process). Strong debugging, troubleshooting , and analytical skills . Excellent communication and stakeholder management skills. Key Skills Snowflake (Advanced) SQL (Expert) Data Modeling (2NF/3NF) ETL Tools AWS (S3, Glue, Lambda, Step Functions) Agile Development Data Quality & Governance Performance Optimization Technical Documentation Stakeholder Collaboration

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail

Urgent Opening for Data Architect Position Exp : Min 9yrs Salary : As per industry NP : Immediate joiners are preferred Skills : Databricks, ADF, Python, Synapse JD Job Description Work youll do This role is responsible for data architecture and support in a fast-paced cross-cultural diverse environment leveraging the Agile methodology. This role requires a solid understanding of taking business requirements to define data models and underlying data structures that support a data architecture's design. The person that fills this role is expected to work closely with product owners and a cross-functional team comprising business analysts, software engineers, functional and non- functional testers, operations engineers and project management. Key Responsibilities Collaborate with product managers, designers, and fellow developers to design, develop, and maintain web-based applications and software solutions. Write clean, maintainable, and efficient code, adhering to coding standards and best practices. Perform code reviews to ensure code quality and consistency. Troubleshoot and debug software defects and issues, providing timely solutions. Participate in the entire software development lifecycle, from requirements gathering to deployment and support. Stay up to date with industry trends and emerging technologies, incorporating them into the development process when appropriate. Mentor junior developers and provide technical guidance when needed. Qualifications : Technical Skills: Bachelor's degree in computer science, Software Engineering, or a related field. Strong experience in Data Engineering Well versed with Data Architecture 10+ years of professional experience in data engineering & architecture Advanced understanding data modelling and design. Strong database management and design, SQL Server preferred. Strong understanding of Databricks & Azure Synapse. Understanding of data pipeline/ETL frameworks and libraries. Experience with Azure Cloud Components (PaaS) and DevOps is required. Experience working in Agile and SAFe development processes. Excellent problem-solving and analytical skills. Other Skills Strong organizational and communication skills. Flexibility, energy and ability to work well with others in a team environment The ability to effectively manage multiple assignments and responsibilities in a fast-paced environment Expert problem solver. Finding simple answers to complex questions or problems. Should be able to learn and upskill on new technologies Drive for results partner with product owners to deliver on short- and long-term milestones Experience working with product owners and development teams to document and clarify business and user requirements and manage scope of defined features and functions during project lifecycle Critical thinking-able to think outside the box; use knowledge gained through prior experience, education, and training to resolve issues and remove project barriers Strong written and verbal communication skills with the ability to present and to collaborate with business leaders Experience interfacing with external software design and development vendors preferred Being a team player that can deliver in a high pressure and high demanding environment If anyone interested, Kindly share your resume on vidya.raskar@newvision-software.com Regards Vidya

Role & responsibilities Data Architect, Snowflake Database Architect/Data Modeler with 15+ years of experience in AWS, Snowflake. Responsible for the overall architecture and delivery of the solution; including, risk mitigation, issue resolution, coordination with internal and external team.

Hiring for Data Architect- Bangalore Designs and manages an organizations data infrastructure, ensuring data accuracy, accessibility, and security for strategic decision-making . They collaborate with business stakeholders, understand data requirements, and translate them into technical specifications for data models, data warehouses, and BI solutions. Their role involves designing ETL processes, data visualization, and implementing data governance policies.

Data Architect Pune 10+ Years Experience CTC: Upto 40 LPA (Non-Negotiable) Interested candidates can share resumes at : "Kashif@d2nsolutions.com" Immediate Joiners

We are looking for a highly experienced Lead Data Engineer / Data Architect to lead the design, development, and implementation of scalable data pipelines, data Lakehouse, and data warehousing solutions. The ideal candidate will provide technical leadership to a team of data engineers, drive architectural decisions, and ensure best practices in data engineering. This role is critical in enabling data-driven decision-making and modernizing our data infrastructure. Key Responsibilities: Act as a technical leader responsible for guiding the design, development, and implementation of data pipelines, data Lakehouse, and data warehousing solutions. Lead a team of data engineers, ensuring adherence to best practices and standards. Drive the successful delivery of high-quality, scalable, and reliable data solutions. Play a key role in shaping data architecture, adopting modern data technologies, and enabling data-driven decision-making across the team. Provide technical vision, guidance, and mentorship to the team. Lead technical design discussions, perform code reviews, and contribute to architectural decisions.

As the Data Architect and Engagement Lead, you will define the data architecture strategy and lead client engagements , ensuring alignment between data solutions and business goals . This dual role blends technical leadership with client-facing responsibilities. Key Responsibilities: Design scalable data architectures, including storage, processing, and integration layers. Lead technical discovery and requirements gathering sessions with clients. Provide architectural oversight for data and AI solutions . Act as a liaison between technical teams and business stakeholders . Define data governance, security, and compliance standards . Required Qualifications: Bachelor s or master s in computer science, Information Systems, or similar. 7+ years of experience in data architecture, with client-facing experience. Deep knowledge of data modelling , cloud data platforms (Snowflake / BigQuery/ Redshift / Azure), and orchestration tools. Excellent communication, stakeholder management, and technical leadership skills. Familiarity with AI/ML systems and their data requirements is a strong plus.

Position Summary We are seeking an experienced SAP Data Architect with a strong background in enterprise data management, SAP S/4HANA architecture, and data integration. This role demands deep expertise in designing and governing data structures, ensuring data consistency, and leading data transformation initiatives across large-scale SAP implementations. Key Responsibilities Lead the data architecture design across multiple SAP modules and legacy systems. Define data governance strategies , master data management (MDM), and metadata standards. Architect data migration strategies for SAP S/4HANA projects, including ETL, data validation, and reconciliation. Develop data models (conceptual, logical, and physical) aligned with business and technical requirements. Collaborate with functional and technical teams to ensure integration across SAP and non-SAP platforms. Establish data quality frameworks and monitoring practices. Conduct impact assessments and ensure scalability of data architecture. Support reporting and analytics requirements through structured data delivery frameworks (e.g., SAP BW, SAP HANA). Required Qualifications 15+ years of experience in enterprise data architecture , with 8+ years in SAP landscapes . Proven experience in SAP S/4HANA data models , SAP Datasphere , SAP HANA Cloud SAC and integrating this with AWS Data Lake (S3) Strong knowledge of data migration tools (SAP Data Services, LTMC / LSMW, BODS, etc.). Expertise in data governance , master data strategy, and data lifecycle management. Experience with cloud data platforms (Azure, AWS, or GCP) is a plus. Strong analytical and communication skills to work across business and IT stakeholders. Preferred Certifications SAP Certified Technology Associate - SAP S/4HANA / Datasphere TOGAF or other Enterprise Architecture certifications ITIL Foundation (for process alignment) Technical Skills SAP S/4HANA Data Architecture Datasphere, HANA Cloud, SAC, BODS Data Services, LTMC /LSMW, SLT, CPI-DS SQL, HANA Native Modeling Integration with non-SAP systems Cloud Data Architecture (Azure/AWS/GCP) ETL/ELT and Data Quality tools Data Modeling Metadata Management

Senior Data Architect In preparation for your interview please consider the following in relation to the JD - see link above Reasons for applying for this particular role What excites you and why What skills and competencies do you bring to the role What skills and competencies would you need to develop Biggest challenge