Job Title: Oracle PPM Functional Consultant Type: Contract / Freelance Experience: 6+ Years Work Mode: Remote Shift Timing: 11 AM – 8 PM IST Location: Global (Remote) Role Overview We are seeking a seasoned Oracle PPM Functional Consultant with deep expertise in Project Financial Management to join our team on a remote contract/freelance basis . The ideal candidate will be responsible for implementing and supporting Oracle Fusion Cloud PPM solutions, aligning closely with business stakeholders to deliver high-quality functional outcomes. Key Responsibilities Lead and manage implementation/support of Oracle Fusion Project Portfolio Management (PPM) modules: Project Financial Management Project Costing, Billing, Contracts, Assets, and Budgeting Conduct requirement gathering , gap analysis , and solution design Configure Oracle PPM modules based on client needs Prepare functional design documents , test cases, and training materials Collaborate with technical teams for integrations and customizations Work closely with business users for UAT, go-live, and post-implementation support Perform data validations, reconciliations, and troubleshooting Required Skills & Experience Minimum 6+ years of experience as an Oracle PPM Functional Consultant Strong hands-on knowledge of Fusion Project Financial Management modules Proven experience in at least one end-to-end implementation Ability to write functional design documents , conduct CRP/UAT sessions Good understanding of related modules like AP, AR, GL, and Procurement Familiarity with integration and reporting tools (OTBI, BI Publisher) Excellent problem-solving, communication, and client-facing skills Preferred Qualifications Oracle Cloud Certification in PPM is a plus Experience working with global teams in a remote environment Prior experience with Agile or hybrid delivery models Show more Show less

Experience: 5+ Years Location: Remote Job type: Contract / Freelance Shift Timings: 11am to 8pm Key Responsibilities: Lead the implementation and configuration of Oracle EPM ARCS, with a focus on Transaction Matching functionality. Collaborate with business users to gather and analyse requirements, translating them into functional and technical specifications. Develop and maintain Functional Design Documents (FDDs) and Technical Design Documents (TDDs). Design and implement integrations between Oracle EPM and source/target systems using tools such as Data Management, EPM Integration Agent, or REST APIs. Participate in solution design, testing, user training, and deployment phases of the project lifecycle. Perform hands-on configuration and troubleshooting of EPM modules. Ensure data accuracy and consistency through reconciliation and validation processes. Provide post-implementation support and enhancements as needed. Work closely with cross-functional teams including Finance, IT, and external partners to ensure solution alignment with business goals. Qualifications: Bachelor’s degree in Information Systems, Finance, Accounting, or related field. 5+ years of experience in Oracle EPM Cloud, with at least 3+ years focused on ARCS Transaction Matching. Strong techno-functional knowledge of Oracle EPM suite, especially Account Reconciliation, Data Management, and Integration techniques. Proficiency in documenting Functional and Technical Design Documents. Experience with integration tools such as EPM Automate, FDMEE, REST APIs, and flat file integrations. Solid understanding of finance/accounting principles and reconciliation processes. Excellent analytical, communication, and interpersonal skills Show more Show less

Job Overview As an Enterprise Architect , you will lead the design and implementation of a robust enterprise-wide architecture strategy, aligning IT and business objectives. The role requires a deep understanding of industry best practices, including TOGAF architectural principles , and a proactive approach to ensuring technology investments deliver measurable business outcomes. You will oversee the organization’s digital transformation journey, focusing on scalability, performance, security, and innovation. Key Responsibilities 1. Architectural Strategy & Framework Development Develop a comprehensive Enterprise Architecture Roadmap to support business goals and future scalability. Define, document, and enforce TOGAF-based architectural principles , ensuring alignment with business and IT strategies. Identify and address gaps in the current architecture, aligning solutions with enterprise standards. 2. Technology Evaluation & Adoption Assess emerging technologies for potential business value and alignment with enterprise needs. Develop technology adoption strategies with a focus on cloud-native architectures, AI/ML, and data-driven systems. Ensure the adoption of modular, flexible, and scalable platforms to accommodate future growth. 3. Solution Design & Delivery Collaborate with teams to design solutions adhering to principles like: Business Continuity: Ensure fault tolerance and high availability. Technology Reusability: Promote reusable components and modular designs. Interoperability: Integrate solutions across departments and business units seamlessly. Data Privacy & Security: Embed robust security protocols and compliance mechanisms. Oversee the implementation of solutions, ensuring adherence to architectural standards. 4. Governance & Compliance Define and enforce enterprise-wide governance frameworks to manage risks, costs, and compliance. Establish review boards and architecture review processes to monitor adherence to standards and principles. Regularly update architecture standards to reflect changes in regulations, technologies, and business priorities. 5. Stakeholder Collaboration & Communication Partner with business leaders to understand strategic objectives and translate them into actionable technical plans. Act as a bridge between technical and non-technical teams, ensuring alignment and clarity. Provide guidance to project teams, aligning them with enterprise goals and best practices. 6. Performance Optimization & Continuous Improvement Monitor the performance of existing architectures and recommend optimizations for improved efficiency. Foster a culture of continuous learning by introducing best practices and innovative technologies. Drive enterprise-wide Agile and DevOps practices , enhancing delivery timelines and quality. 7. Talent Development & Mentorship Provide technical mentorship to solution architects and IT teams. Conduct regular training sessions on architecture frameworks, tools, and methodologies. Develop succession planning strategies to nurture internal talent pipelines. Key Result Areas (KRAs) Alignment of IT and Business Goals: Ensure technology strategies directly support business priorities. Enterprise Architecture Maturity: Achieve measurable improvements in architecture governance and adoption across the organization. Cost Optimization: Identify opportunities to reduce IT costs through efficient architecture and vendor consolidation. Operational Excellence: Deliver consistent, scalable, and high-performing enterprise solutions. Risk Management: Mitigate risks related to technology, compliance, and scalability. Innovation Adoption: Drive adoption of emerging technologies and best practices to maintain competitive advantage. Qualifications Education Bachelor’s or Master’s degree in Computer Science, Information Systems, or related fields. Experience 10+ years of experience in IT architecture, with at least 5 years as an enterprise architect. Proven track record in leading digital transformation initiatives and technology modernization projects. Certifications TOGAF Certified (Foundation & Practitioner) or equivalent. Cloud certifications (e.g., AWS Solutions Architect, Azure Architect). ITIL, COBIT, or PMP certification is a plus. Skills & Expertise Proficiency in enterprise architecture frameworks ( TOGAF, Zachman, Gartner EA ). In-depth knowledge of cloud computing, microservices, APIs, and containerization. Expertise in enterprise tools: EA repositories, ITSM tools, and DevOps toolchains. Strong analytical, communication, and problem-solving abilities. Enterprise Best Practices Emphasized in This Role Standardization: Foster standardization across technologies, processes, and tools for greater efficiency and consistency. Agility: Implement Agile and Lean methodologies to enhance responsiveness to change. Data-Driven Decision Making: Use analytics and metrics to guide architecture decisions and measure success. Sustainability: Prioritize green IT initiatives and energy-efficient solutions. Customer-Centric Design: Promote user-centered designs for optimal user experiences. Security by Design: Ensure security and compliance are integral to all architecture layers. Show more Show less

Experience : 4+ Years. Work Mode : Remote. Work Type : Contract / Full Time. Shift Timings : 11 Am to 8 Pm. Availability : Immediate. Description We are seeking an experienced Oracle APEX Developer with 4+ years of Oracle experience in design, development and implementation using APEX. This role requires a comprehensive understanding of Oracle cloud technology to create efficient and user-friendly applications. Key Responsibilities Design and Development of application interfaces, business logic and data integrations within APEX. Implement responsive design principles to ensure applications are optimized for various devices and screen sizes. Troubleshoot and resolve technical issues, bugs. Monitor system performance and user feedback to propose necessary adjustments or enhancements, maintaining the systems relevance and efficiency. Optimize APEX extensions to work with large dataset for CRUD. Use APEX along with OCI PaaS components like Oracle Integration Cloud, ATP/ADW, Streaming, OCI functions to design scalable applications. Interact with Oracle Fusion REST/SOAP services to create/update entities in Oracle Fusion through APEX user interface. Migrate and deploy APEX extensions across instances. Required Qualifications Bachelors degree in computer science, Engineering or related field. Minimum of 4 years Oracle APEX design and development experience. Strong understanding of Oracle cloud technologies with hands on knowledge on APEX. Excellent analytical and problem-solving skills. Strong knowledge of JavaScript, HTML, CSS and RESTful APIs. Familiarity with Agile development methodologies and version control systems (e. Git). Strong communication and interpersonal skills for effective collaboration with cross-functional teams. Preferred Qualifications Knowledge of Oracle Cloud Infrastructure and other Oracle Cloud Services. Previous experience in developing applications, extending SaaS applications for enterprise environments (ref:hirist.tech) Show more Show less

Experience : 7+ Years. Location : Noida. Key Responsibilities :. Data Architecture Design :. Design, develop, and maintain the enterprise data architecture, including data models, database schemas, and data flow diagrams. Develop a data strategy and roadmap that aligns with the business objectives and ensures the scalability of data systems. Architect both transactional (OLTP) and analytical (OLAP) databases, ensuring optimal performance and data consistency. Data Integration & Management :. Oversee the integration of disparate data sources into a unified data platform, leveraging ETL/ELT processes and data integration tools. Design and implement data warehousing solutions, data lakes, and/or data marts that enable efficient storage and retrieval of large datasets. Ensure proper data governance, including the definition of data ownership, security, and privacy controls in accordance with compliance standards (GDPR, HIPAA, etc. Collaboration with Stakeholders :. Work closely with business stakeholders, including analysts, developers, and executives, to understand data requirements and ensure that the architecture supports analytics and reporting needs. Collaborate with DevOps and engineering teams to optimize database performance and support large-scale data processing pipelines. Technology Leadership :. Guide the selection of data technologies, including databases (SQL/NoSQL), data processing frameworks (Hadoop, Spark), cloud platforms (Azure is a must), and analytics tools. Stay updated on emerging data management technologies, trends, and best practices, and assess their potential application within the organization. Data Quality & Security :. Define data quality standards and implement processes to ensure the accuracy, completeness, and consistency of data across all systems. Establish protocols for data security, encryption, and backup/recovery to protect data assets and ensure business continuity. Mentorship & Leadership :. Lead and mentor data engineers, data modelers, and other technical staff in best practices for data architecture and management. Provide strategic guidance on data-related projects and initiatives, ensuring that all efforts are aligned with the enterprise data strategy. Required Skills & Experience :. Extensive Data Architecture Expertise :. Over 7 years of experience in data architecture, data modeling, and database management. Proficiency in designing and implementing relational (SQL) and non-relational (NoSQL) database solutions. Strong experience with data integration tools (Azure Tools are a must + any other third party tools), ETL/ELT processes, and data pipelines. Advanced Knowledge of Data Platforms :. Expertise in Azure cloud data platform is a must. Other platforms such as AWS (Redshift, S3), Azure (Data Lake, Synapse), and/or Google Cloud Platform (BigQuery, Dataproc) is a bonus. Experience with big data technologies (Hadoop, Spark) and distributed systems for large-scale data processing. Hands-on experience with data warehousing solutions and BI tools (e.g, Power BI, Tableau, Looker). Data Governance & Compliance :. Strong understanding of data governance principles, data lineage, and data stewardship. Knowledge of industry standards and compliance requirements (e.g, GDPR, HIPAA, SOX) and the ability to architect solutions that meet these standards. Technical Leadership :. Proven ability to lead data-driven projects, manage stakeholders, and drive data strategies across the enterprise. Strong programming skills in languages such as Python, SQL, R, or Scala. Certification :. Azure Certified Solution Architect, Data Engineer, Data Scientist certifications are mandatory. Pre-Sales Responsibilities :. Stakeholder Engagement : Work with product stakeholders to analyze functional and non-functional requirements, ensuring alignment with business objectives. Solution Development : Develop end-to-end solutions involving multiple products, ensuring security and performance benchmarks are established, achieved, and maintained. Proof of Concepts (POCs) : Develop POCs to demonstrate the feasibility and benefits of proposed solutions. Client Communication : Communicate system requirements and solution architecture to clients and stakeholders, providing technical assistance and guidance throughout the pre-sales process. Technical Presentations : Prepare and deliver technical presentations to prospective clients, demonstrating how proposed solutions meet their needs and requirements. Additional Responsibilities :. Stakeholder Collaboration : Engage with stakeholders to understand their requirements and translate them into effective technical solutions. Technology Leadership : Provide technical leadership and guidance to development teams, ensuring the use of best practices and innovative solutions. Integration Management : Oversee the integration of solutions with existing systems and third-party applications, ensuring seamless interoperability and data flow. Performance Optimization : Ensure solutions are optimized for performance, scalability, and security, addressing any technical challenges that arise. Quality Assurance : Establish and enforce quality assurance standards, conducting regular reviews and testing to ensure robustness and reliability. Documentation : Maintain comprehensive documentation of the architecture, design decisions, and technical specifications. Mentoring : Mentor fellow developers and team leads, fostering a collaborative and growth-oriented environment. Qualifications Education : Bachelor's or master's degree in computer science, Information Technology, or a related field. Experience : Minimum of 7 years of experience in data architecture, with a focus on developing scalable and high-performance solutions. Technical Expertise : Proficient in architectural frameworks, cloud computing, database management, and web technologies. Analytical Thinking : Strong problem-solving skills, with the ability to analyze complex requirements and design scalable solutions. Leadership Skills : Demonstrated ability to lead and mentor technical teams, with excellent project management skills. Communication : Excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders. (ref:hirist.tech) Show more Show less

Job Overview As an Enterprise Architect, you will lead the design and implementation of a robust enterprise-wide architecture strategy, aligning IT and business objectives. The role requires a deep understanding of industry best practices, including TOGAF architectural principles, and a proactive approach to ensuring technology investments deliver measurable business outcomes. You will oversee the organizations digital transformation journey, focusing on scalability, performance, security, and innovation. Key Responsibilities Strategy & Framework Development Develop a comprehensive Enterprise Architecture Roadmap to support business goals and future scalability. Define, document, and enforce TOGAF-based architectural principles, ensuring alignment with business and IT strategies. Identify and address gaps in the current architecture, aligning solutions with enterprise standards. Technology Evaluation & Adoption Assess emerging technologies for potential business value and alignment with enterprise needs. Develop technology adoption strategies with a focus on cloud-native architectures, AI/ML, and data-driven systems. Ensure the adoption of modular, flexible, and scalable platforms to accommodate future growth. Solution Design & Delivery Collaborate with teams to design solutions adhering to principles like : . Business Continuity : Ensure fault tolerance and high availability. Technology Reusability : Promote reusable components and modular designs. Interoperability : Integrate solutions across departments and business units seamlessly. Data Privacy & Security : Embed robust security protocols and compliance mechanisms. Oversee the implementation of solutions, ensuring adherence to architectural standards. Governance & Compliance Define and enforce enterprise-wide governance frameworks to manage risks, costs, and compliance. Establish review boards and architecture review processes to monitor adherence to standards and principles. Regularly update architecture standards to reflect changes in regulations, technologies, and business priorities. Stakeholder Collaboration & Communication Partner with business leaders to understand strategic objectives and translate them into actionable technical plans. Act as a bridge between technical and non-technical teams, ensuring alignment and clarity. Provide guidance to project teams, aligning them with enterprise goals and best practices. Performance Optimization & Continuous Improvement Monitor the performance of existing architectures and recommend optimizations for improved efficiency. Foster a culture of continuous learning by introducing best practices and innovative technologies. Drive enterprise-wide Agile and DevOps practices, enhancing delivery timelines and quality. Talent Development & Mentorship Provide technical mentorship to solution architects and IT teams. Conduct regular training sessions on architecture frameworks, tools, and methodologies. Develop succession planning strategies to nurture internal talent pipelines. Key Result Areas (KRAs) : of IT and Business Goals : Ensure technology strategies directly support business priorities. Enterprise Architecture Maturity Achieve measurable improvements in architecture governance and adoption across the organization. Cost Optimization Identify opportunities to reduce IT costs through efficient architecture and vendor consolidation. Operational Excellence Deliver consistent, scalable, and high-performing enterprise solutions. Risk Management Mitigate risks related to technology, compliance, and scalability. Innovation Adoption Drive adoption of emerging technologies and best practices to maintain competitive advantage. Qualifications. Education. Bachelors or Masters degree in Computer Science, Information Systems, or related fields. Experience. 10+ years of experience in IT architecture, with at least 5 years as an enterprise architect. Proven track record in leading digital transformation initiatives and technology modernization projects. Certifications TOGAF Certified (Foundation & Practitioner) or equivalent. Cloud certifications (e. , AWS Solutions Architect, Azure Architect). ITIL, COBIT, or PMP certification is a plus. Skills & Expertise Proficiency in enterprise architecture frameworks (TOGAF, Zachman, Gartner EA). In-depth knowledge of cloud computing, microservices, APIs, and containerization. Expertise in enterprise tools : EA repositories, ITSM tools, and DevOps toolchains. Strong analytical, communication, and problem-solving abilities. (ref:hirist.tech) Show more Show less

Job Title : Data Architect Reports To Tittle : Head of Technology Business Function/Sub Function: IT Location: Noida, India Data Architecture Design: Design, develop, and maintain the enterprise data architecture, including data models, database schemas, and data flow diagrams. Develop a data strategy and roadmap that aligns with business objectives and ensures the scalability of data systems. Architect both transactional (OLTP) and analytical (OLAP) databases, ensuring optimal performance and data consistency. Data Integration & Management: Oversee the integration of disparate data sources into a unified data platform, leveraging ETL/ELT processes and data integration tools. Design and implement data warehousing solutions, data lakes, and/or data marts that enable efficient storage and retrieval of large datasets. Ensure proper data governance, including the definition of data ownership, security, and privacy controls in accordance with compliance standards (GDPR, HIPAA, etc.). Collaboration with Stakeholders: Work closely with business stakeholders, including analysts, developers, and executives, to understand data requirements and ensure that the architecture supports analytics and reporting needs. Collaborate with DevOps and engineering teams to optimize database performance and support large-scale data processing pipelines. Technology Leadership: Guide the selection of data technologies, including databases (SQL/NoSQL), data processing frameworks (Hadoop, Spark), cloud platforms (Azure is a must), and analytics tools. Stay updated on emerging data management technologies, trends, and best practices, and assess their potential application within the organization. Data Quality & Security: Define data quality standards and implement processes to ensure the accuracy, completeness, and consistency of data across all systems. Establish protocols for data security, encryption, and backup/recovery to protect data assets and ensure business continuity. Mentorship & Leadership: Lead and mentor data engineers, data modelers, and other technical staff in best practices for data architecture and management. Provide strategic guidance on data-related projects and initiatives, ensuring that all efforts are aligned with the enterprise data strategy. Required Skills & Experience: Extensive Data Architecture Expertise: Over 7 years of experience in data architecture, data modeling, and database management. Proficiency in designing and implementing relational (SQL) and non-relational (NoSQL) database solutions. Strong experience with data integration tools (Azure Tools are a must + any other third party tools), ETL/ELT processes, and data pipelines. Advanced Knowledge of Data Platforms: Expertise in Azure cloud data platform is a must. Other platforms such as AWS (Redshift, S3), Azure (Data Lake, Synapse), and/or Google Cloud Platform (BigQuery, Dataproc) is a bonus. Experience with big data technologies (Hadoop, Spark) and distributed systems for large-scale data processing. Hands-on experience with data warehousing solutions and BI tools (e.g., Power BI, Tableau, Looker). Data Governance & Compliance: Strong understanding of data governance principles, data lineage, and data stewardship. Knowledge of industry standards and compliance requirements (e.g., GDPR, HIPAA, SOX) and the ability to architect solutions that meet these standards. Technical Leadership: Proven ability to lead data-driven projects, manage stakeholders, and drive data strategies across the enterprise. Strong programming skills in languages such as Python, SQL, R, or Scala. Certification: Azure Certified Solution Architect, Data Engineer, Data Scientist certifications are mandatory. Pre-Sales Responsibilities: Stakeholder Engagement: Work with product stakeholders to analyze functional and non-functional requirements, ensuring alignment with business objectives. Solution Development: Develop end-to-end solutions involving multiple products, ensuring security and performance benchmarks are established, achieved, and maintained. Proof of Concepts (POCs): Develop POCs to demonstrate the feasibility and benefits of proposed solutions. Client Communication: Communicate system requirements and solution architecture to clients and stakeholders, providing technical assistance and guidance throughout the pre-sales process. Technical Presentations: Prepare and deliver technical presentations to prospective clients, demonstrating how proposed solutions meet their needs and requirements. Additional Responsibilities: Stakeholder Collaboration: Engage with stakeholders to understand their requirements and translate them into effective technical solutions. Technology Leadership: Provide technical leadership and guidance to development teams, ensuring the use of best practices and innovative solutions. Integration Management: Oversee the integration of solutions with existing systems and third-party applications, ensuring seamless interoperability and data flow. Performance Optimization: Ensure solutions are optimized for performance, scalability, and security, addressing any technical challenges that arise. Quality Assurance: Establish and enforce quality assurance standards, conducting regular reviews and testing to ensure robustness and reliability. Documentation: Maintain comprehensive documentation of the architecture, design decisions, and technical specifications. Mentoring: Mentor fellow developers and team leads, fostering a collaborative and growth-oriented environment. Qualifications: Education: Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Experience: Minimum of 7 years of experience in data architecture, with a focus on developing scalable and high-performance solutions. Technical Expertise: Proficient in architectural frameworks, cloud computing, database management, and web technologies. Analytical Thinking: Strong problem-solving skills, with the ability to analyze complex requirements and design scalable solutions. Leadership Skills: Demonstrated ability to lead and mentor technical teams, with excellent project management skills. Communication: Excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders. Show more Show less

Job Title : Data Architect Reports To Tittle : Head of Technology Business Function/Sub Function: IT Location: Noida, India Data Architecture Design: Design, develop, and maintain the enterprise data architecture, including data models, database schemas, and data flow diagrams. Develop a data strategy and roadmap that aligns with business objectives and ensures the scalability of data systems. Architect both transactional (OLTP) and analytical (OLAP) databases, ensuring optimal performance and data consistency. Data Integration & Management: Oversee the integration of disparate data sources into a unified data platform, leveraging ETL/ELT processes and data integration tools. Design and implement data warehousing solutions, data lakes, and/or data marts that enable efficient storage and retrieval of large datasets. Ensure proper data governance, including the definition of data ownership, security, and privacy controls in accordance with compliance standards (GDPR, HIPAA, etc.). Collaboration with Stakeholders: Work closely with business stakeholders, including analysts, developers, and executives, to understand data requirements and ensure that the architecture supports analytics and reporting needs. Collaborate with DevOps and engineering teams to optimize database performance and support large-scale data processing pipelines. Technology Leadership: Guide the selection of data technologies, including databases (SQL/NoSQL), data processing frameworks (Hadoop, Spark), cloud platforms (Azure is a must), and analytics tools. Stay updated on emerging data management technologies, trends, and best practices, and assess their potential application within the organization. Data Quality & Security: Define data quality standards and implement processes to ensure the accuracy, completeness, and consistency of data across all systems. Establish protocols for data security, encryption, and backup/recovery to protect data assets and ensure business continuity. Mentorship & Leadership: Lead and mentor data engineers, data modelers, and other technical staff in best practices for data architecture and management. Provide strategic guidance on data-related projects and initiatives, ensuring that all efforts are aligned with the enterprise data strategy. Required Skills & Experience: Extensive Data Architecture Expertise: Over 7 years of experience in data architecture, data modeling, and database management. Proficiency in designing and implementing relational (SQL) and non-relational (NoSQL) database solutions. Strong experience with data integration tools (Azure Tools are a must + any other third party tools), ETL/ELT processes, and data pipelines. Advanced Knowledge of Data Platforms: Expertise in Azure cloud data platform is a must. Other platforms such as AWS (Redshift, S3), Azure (Data Lake, Synapse), and/or Google Cloud Platform (BigQuery, Dataproc) is a bonus. Experience with big data technologies (Hadoop, Spark) and distributed systems for large-scale data processing. Hands-on experience with data warehousing solutions and BI tools (e.g., Power BI, Tableau, Looker). Data Governance & Compliance: Strong understanding of data governance principles, data lineage, and data stewardship. Knowledge of industry standards and compliance requirements (e.g., GDPR, HIPAA, SOX) and the ability to architect solutions that meet these standards. Technical Leadership: Proven ability to lead data-driven projects, manage stakeholders, and drive data strategies across the enterprise. Strong programming skills in languages such as Python, SQL, R, or Scala. Certification: Azure Certified Solution Architect, Data Engineer, Data Scientist certifications are mandatory. Pre-Sales Responsibilities: Stakeholder Engagement: Work with product stakeholders to analyze functional and non-functional requirements, ensuring alignment with business objectives. Solution Development: Develop end-to-end solutions involving multiple products, ensuring security and performance benchmarks are established, achieved, and maintained. Proof of Concepts (POCs): Develop POCs to demonstrate the feasibility and benefits of proposed solutions. Client Communication: Communicate system requirements and solution architecture to clients and stakeholders, providing technical assistance and guidance throughout the pre-sales process. Technical Presentations: Prepare and deliver technical presentations to prospective clients, demonstrating how proposed solutions meet their needs and requirements. Additional Responsibilities: Stakeholder Collaboration: Engage with stakeholders to understand their requirements and translate them into effective technical solutions. Technology Leadership: Provide technical leadership and guidance to development teams, ensuring the use of best practices and innovative solutions. Integration Management: Oversee the integration of solutions with existing systems and third-party applications, ensuring seamless interoperability and data flow. Performance Optimization: Ensure solutions are optimized for performance, scalability, and security, addressing any technical challenges that arise. Quality Assurance: Establish and enforce quality assurance standards, conducting regular reviews and testing to ensure robustness and reliability. Documentation: Maintain comprehensive documentation of the architecture, design decisions, and technical specifications. Mentoring: Mentor fellow developers and team leads, fostering a collaborative and growth-oriented environment. Qualifications: Education: Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Experience: Minimum of 7 years of experience in data architecture, with a focus on developing scalable and high-performance solutions. Technical Expertise: Proficient in architectural frameworks, cloud computing, database management, and web technologies. Analytical Thinking: Strong problem-solving skills, with the ability to analyze complex requirements and design scalable solutions. Leadership Skills: Demonstrated ability to lead and mentor technical teams, with excellent project management skills. Communication: Excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders. Show more Show less

Job Title : Data Architect Location: Noida, India Data Architecture Design: Design, develop, and maintain the enterprise data architecture, including data models, database schemas, and data flow diagrams. Develop a data strategy and roadmap that aligns with business objectives and ensures the scalability of data systems. Architect both transactional (OLTP) and analytical (OLAP) databases, ensuring optimal performance and data consistency. Data Integration & Management: Oversee the integration of disparate data sources into a unified data platform, leveraging ETL/ELT processes and data integration tools. Design and implement data warehousing solutions, data lakes, and/or data marts that enable efficient storage and retrieval of large datasets. Ensure proper data governance, including the definition of data ownership, security, and privacy controls in accordance with compliance standards (GDPR, HIPAA, etc.). Collaboration with Stakeholders: Work closely with business stakeholders, including analysts, developers, and executives, to understand data requirements and ensure that the architecture supports analytics and reporting needs. Collaborate with DevOps and engineering teams to optimize database performance and support large-scale data processing pipelines. Technology Leadership: Guide the selection of data technologies, including databases (SQL/NoSQL), data processing frameworks (Hadoop, Spark), cloud platforms (Azure is a must), and analytics tools. Stay updated on emerging data management technologies, trends, and best practices, and assess their potential application within the organization. Data Quality & Security: Define data quality standards and implement processes to ensure the accuracy, completeness, and consistency of data across all systems. Establish protocols for data security, encryption, and backup/recovery to protect data assets and ensure business continuity. Mentorship & Leadership: Lead and mentor data engineers, data modelers, and other technical staff in best practices for data architecture and management. Provide strategic guidance on data-related projects and initiatives, ensuring that all efforts are aligned with the enterprise data strategy. Required Skills & Experience: Extensive Data Architecture Expertise: Over 7 years of experience in data architecture, data modeling, and database management. Proficiency in designing and implementing relational (SQL) and non-relational (NoSQL) database solutions. Strong experience with data integration tools (Azure Tools are a must + any other third party tools), ETL/ELT processes, and data pipelines. Advanced Knowledge of Data Platforms: Expertise in Azure cloud data platform is a must. Other platforms such as AWS (Redshift, S3), Azure (Data Lake, Synapse), and/or Google Cloud Platform (BigQuery, Dataproc) is a bonus. Experience with big data technologies (Hadoop, Spark) and distributed systems for large-scale data processing. Hands-on experience with data warehousing solutions and BI tools (e.g., Power BI, Tableau, Looker). Data Governance & Compliance: Strong understanding of data governance principles, data lineage, and data stewardship. Knowledge of industry standards and compliance requirements (e.g., GDPR, HIPAA, SOX) and the ability to architect solutions that meet these standards. Technical Leadership: Proven ability to lead data-driven projects, manage stakeholders, and drive data strategies across the enterprise. Strong programming skills in languages such as Python, SQL, R, or Scala. Certification: Azure Certified Solution Architect, Data Engineer, Data Scientist certifications are mandatory. Pre-Sales Responsibilities: Stakeholder Engagement: Work with product stakeholders to analyze functional and non-functional requirements, ensuring alignment with business objectives. Solution Development: Develop end-to-end solutions involving multiple products, ensuring security and performance benchmarks are established, achieved, and maintained. Proof of Concepts (POCs): Develop POCs to demonstrate the feasibility and benefits of proposed solutions. Client Communication: Communicate system requirements and solution architecture to clients and stakeholders, providing technical assistance and guidance throughout the pre-sales process. Technical Presentations: Prepare and deliver technical presentations to prospective clients, demonstrating how proposed solutions meet their needs and requirements. Additional Responsibilities: Stakeholder Collaboration: Engage with stakeholders to understand their requirements and translate them into effective technical solutions. Technology Leadership: Provide technical leadership and guidance to development teams, ensuring the use of best practices and innovative solutions. Integration Management: Oversee the integration of solutions with existing systems and third-party applications, ensuring seamless interoperability and data flow. Performance Optimization: Ensure solutions are optimized for performance, scalability, and security, addressing any technical challenges that arise. Quality Assurance: Establish and enforce quality assurance standards, conducting regular reviews and testing to ensure robustness and reliability. Documentation: Maintain comprehensive documentation of the architecture, design decisions, and technical specifications. Mentoring: Mentor fellow developers and team leads, fostering a collaborative and growth-oriented environment. Qualifications: Education: Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Experience: Minimum of 7 years of experience in data architecture, with a focus on developing scalable and high-performance solutions. Technical Expertise: Proficient in architectural frameworks, cloud computing, database management, and web technologies. Analytical Thinking: Strong problem-solving skills, with the ability to analyze complex requirements and design scalable solutions. Leadership Skills: Demonstrated ability to lead and mentor technical teams, with excellent project management skills. Communication: Excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders. Show more Show less

Job Title: SAP IS-Oil RFNO Consultant Location: Hyderabad, Mumbai, Pune, Bengaluru, Gurgaon, Chennai, Kolkata Job Type: Full-time/Contract Experience Level: 6+ Job Summary: We are looking for an experienced SAP IS-Oil RFNO (Retail Fuel Network Operations) Consultant with 5 to 8 years of hands-on expertise in designing, implementing, and supporting SAP solutions tailored to fuel retail networks. The ideal candidate will bring in-depth knowledge of the IS-Oil RFNO module and strong experience in managing retail operations processes within SAP for the oil and gas industry. Key Responsibilities: Solution Design & Implementation: Design and configure SAP IS-Oil RFNO solutions to meet business requirements related to retail fuel operations. Customize functionalities for service stations, card management, pricing, and retail transactions. Retail Fuel Network Operations Support: Provide expert support and guidance on retail site operations, network management, and SAP integration with Point-of-Sale (POS) systems. Troubleshoot issues related to site management, reconciliation, and card transaction processing. System Integration: Ensure smooth data exchange between SAP RFNO and third-party applications including POS, card systems, and external pricing engines. Collaborate with cross-functional teams to align RFNO with SAP SD, MM, and FICO modules. Process Optimization & Compliance: Identify opportunities for improving operational efficiency and compliance across retail fuel operations. Ensure solutions are aligned with legal, safety, and environmental standards specific to the downstream oil & gas sector. Documentation & Training: Develop functional documentation, system specifications, and training materials. Deliver user training and post-go-live support for business users and key stakeholders. Required Skills and Qualifications: Experience: 5 to 8 years of hands-on experience with SAP IS-Oil RFNO module implementation and support. Industry Knowledge: Strong understanding of downstream oil and gas processes, specifically fuel retail operations, station management, and fleet card programs. Technical Skills: Deep familiarity with SAP RFNO architecture, integration points, and configuration. Exposure to SAP SD/MM and experience working with POS integration. Soft Skills: Strong problem-solving skills and ability to manage cross-functional collaboration. Excellent communication and documentation abilities. Preferred Qualifications: Prior experience with SAP S/4HANA in an IS-Oil environment. Understanding of global fuel retail standards and card/payment ecosystems. SAP Certification in IS-Oil or related modules. Show more Show less

We are looking for an experienced Azure Data Warehouse Engineer to join our Chennai-based data and analytics team. You will be responsible for designing and developing a unified data platform that integrates critical business systems and enables self-service analytics across departments. This is a strategic role aimed at building a single source of truth for customer and transaction data across the organization. Key Goals of the Project: Build a unified data warehouse on Azure , integrating data from Salesforce and QuickBooks Create department-specific flat views for business reporting Enable self-service dashboards using Tableau Deliver a centralized, accurate, and reliable data source for customer and transaction insights Proposed Technology Stack: Cloud Platform: Azure (existing environment) Data Warehouse: Azure Synapse or Snowflake (to be finalized) ETL / Orchestration: Azure Data Factory, Python, Spark Reporting Tools: Tableau Key Responsibilities: Design and implement scalable data models and architecture on Azure Synapse or Snowflake Develop ETL pipelines using Azure Data Factory, Python , and Spark to ingest and transform data from Salesforce , QuickBooks , and other sources Create robust, reusable data views for different business departments Collaborate with business analysts and stakeholders to deliver reliable datasets for Tableau dashboards Ensure data accuracy, consistency, security, and governance across the platform Optimize performance of large-scale data processing jobs Maintain documentation, data catalogs, and version control for data pipelines Qualifications & Skills: 5+ years of experience in data warehousing, ETL development, and cloud-based analytics Strong expertise in Azure Data Factory , Azure Synapse , or Snowflake Experience with Salesforce and QuickBooks data integration is highly desirable Proficiency in SQL , Python , and distributed data processing (e.g., PySpark ) Hands-on experience with Tableau or similar BI tools Understanding of data modeling (dimensional/star schema), warehousing best practices, and performance tuning Familiarity with cloud security, access management, and data governance in Azure Excellent problem-solving, communication, and collaboration skills Nice to Have: Experience with DevOps and CI/CD practices in a data engineering context Familiarity with Data Vault or modern data stack architectures Knowledge of API integrations and data sync between cloud systems Show more Show less

Experience: 7+ Years Location: Noida-Sector 64 Key Responsibilities: Data Architecture Design: Design, develop, and maintain the enterprise data architecture, including data models, database schemas, and data flow diagrams. Develop a data strategy and roadmap that aligns with the business objectives and ensures the scalability of data systems. Architect both transactional (OLTP) and analytical (OLAP) databases, ensuring optimal performance and data consistency. Data Integration & Management: Oversee the integration of disparate data sources into a unified data platform, leveraging ETL/ELT processes and data integration tools. Design and implement data warehousing solutions, data lakes, and/or data marts that enable efficient storage and retrieval of large datasets. Ensure proper data governance, including the definition of data ownership, security, and privacy controls in accordance with compliance standards (GDPR, HIPAA, etc.). Collaboration with Stakeholders: Work closely with business stakeholders, including analysts, developers, and executives, to understand data requirements and ensure that the architecture supports analytics and reporting needs. Collaborate with DevOps and engineering teams to optimize database performance and support large-scale data processing pipelines. Technology Leadership: Guide the selection of data technologies, including databases (SQL/NoSQL), data processing frameworks (Hadoop, Spark), cloud platforms (Azure is a must), and analytics tools. Stay updated on emerging data management technologies, trends, and best practices, and assess their potential application within the organization. Data Quality & Security: Define data quality standards and implement processes to ensure the accuracy, completeness, and consistency of data across all systems. Establish protocols for data security, encryption, and backup/recovery to protect data assets and ensure business continuity. Mentorship & Leadership: Lead and mentor data engineers, data modelers, and other technical staff in best practices for data architecture and management. Provide strategic guidance on data-related projects and initiatives, ensuring that all efforts are aligned with the enterprise data strategy. Required Skills & Experience: Extensive Data Architecture Expertise: Over 7 years of experience in data architecture, data modeling, and database management. Proficiency in designing and implementing relational (SQL) and non-relational (NoSQL) database solutions. Strong experience with data integration tools (Azure Tools are a must + any other third party tools), ETL/ELT processes, and data pipelines. Advanced Knowledge of Data Platforms: Expertise in Azure cloud data platform is a must. Other platforms such as AWS (Redshift, S3), Azure (Data Lake, Synapse), and/or Google Cloud Platform (BigQuery, Dataproc) is a bonus. Experience with big data technologies (Hadoop, Spark) and distributed systems for large-scale data processing. Hands-on experience with data warehousing solutions and BI tools (e.g., Power BI, Tableau, Looker). Data Governance & Compliance: Strong understanding of data governance principles, data lineage, and data stewardship. Knowledge of industry standards and compliance requirements (e.g., GDPR, HIPAA, SOX) and the ability to architect solutions that meet these standards. Technical Leadership: Proven ability to lead data-driven projects, manage stakeholders, and drive data strategies across the enterprise. Strong programming skills in languages such as Python, SQL, R, or Scala. Certification: Azure Certified Solution Architect, Data Engineer, Data Scientist certifications are mandatory. Pre-Sales Responsibilities: Stakeholder Engagement: Work with product stakeholders to analyze functional and non-functional requirements, ensuring alignment with business objectives. Solution Development: Develop end-to-end solutions involving multiple products, ensuring security and performance benchmarks are established, achieved, and maintained. Proof of Concepts (POCs): Develop POCs to demonstrate the feasibility and benefits of proposed solutions. Client Communication: Communicate system requirements and solution architecture to clients and stakeholders, providing technical assistance and guidance throughout the pre-sales process. Technical Presentations: Prepare and deliver technical presentations to prospective clients, demonstrating how proposed solutions meet their needs and requirements. Additional Responsibilities: Stakeholder Collaboration: Engage with stakeholders to understand their requirements and translate them into effective technical solutions. Technology Leadership: Provide technical leadership and guidance to development teams, ensuring the use of best practices and innovative solutions. Integration Management: Oversee the integration of solutions with existing systems and third-party applications, ensuring seamless interoperability and data flow. Performance Optimization: Ensure solutions are optimized for performance, scalability, and security, addressing any technical challenges that arise. Quality Assurance: Establish and enforce quality assurance standards, conducting regular reviews and testing to ensure robustness and reliability. Documentation: Maintain comprehensive documentation of the architecture, design decisions, and technical specifications. Mentoring: Mentor fellow developers and team leads, fostering a collaborative and growth-oriented environment. Qualifications: Education: Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Experience: Minimum of 7 years of experience in data architecture, with a focus on developing scalable and high-performance solutions. Technical Expertise: Proficient in architectural frameworks, cloud computing, database management, and web technologies. Analytical Thinking: Strong problem-solving skills, with the ability to analyze complex requirements and design scalable solutions. Leadership Skills: Demonstrated ability to lead and mentor technical teams, with excellent project management skills. Communication: Excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders. Show more Show less

Job Title: Data Architect Location: Noida, India Data Architecture Design: Design, develop, and maintain the enterprise data architecture, including data models, database schemas, and data flow diagrams. Develop a data strategy and roadmap that aligns with business objectives and ensures the scalability of data systems. Architect both transactional (OLTP) and analytical (OLAP) databases, ensuring optimal performance and data consistency. Data Integration & Management: Oversee the integration of disparate data sources into a unified data platform, leveraging ETL/ELT processes and data integration tools. Design and implement data warehousing solutions, data lakes, and/or data marts that enable efficient storage and retrieval of large datasets. Ensure proper data governance, including the definition of data ownership, security, and privacy controls in accordance with compliance standards (GDPR, HIPAA, etc.). Collaboration with Stakeholders: Work closely with business stakeholders, including analysts, developers, and executives, to understand data requirements and ensure that the architecture supports analytics and reporting needs. Collaborate with DevOps and engineering teams to optimize database performance and support large-scale data processing pipelines. Technology Leadership: Guide the selection of data technologies, including databases (SQL/NoSQL), data processing frameworks (Hadoop, Spark), cloud platforms (Azure is a must), and analytics tools. Stay updated on emerging data management technologies, trends, and best practices, and assess their potential application within the organization. Data Quality & Security: Define data quality standards and implement processes to ensure the accuracy, completeness, and consistency of data across all systems. Establish protocols for data security, encryption, and backup/recovery to protect data assets and ensure business continuity. Mentorship & Leadership: Lead and mentor data engineers, data modelers, and other technical staff in best practices for data architecture and management. Provide strategic guidance on data-related projects and initiatives, ensuring that all efforts are aligned with the enterprise data strategy. Required Skills & Experience: Extensive Data Architecture Expertise: Over 7 years of experience in data architecture, data modeling, and database management. Proficiency in designing and implementing relational (SQL) and non-relational (NoSQL) database solutions. Strong experience with data integration tools (Azure Tools are a must + any other third party tools), ETL/ELT processes, and data pipelines. Advanced Knowledge of Data Platforms: Expertise in Azure cloud data platform is a must. Other platforms such as AWS (Redshift, S3), Azure (Data Lake, Synapse), and/or Google Cloud Platform (BigQuery, Dataproc) is a bonus. Experience with big data technologies (Hadoop, Spark) and distributed systems for large-scale data processing. Hands-on experience with data warehousing solutions and BI tools (e.g., Power BI, Tableau, Looker). Data Governance & Compliance: Strong understanding of data governance principles, data lineage, and data stewardship. Knowledge of industry standards and compliance requirements (e.g., GDPR, HIPAA, SOX) and the ability to architect solutions that meet these standards. Technical Leadership: Proven ability to lead data-driven projects, manage stakeholders, and drive data strategies across the enterprise. Strong programming skills in languages such as Python, SQL, R, or Scala. Certification: Azure Certified Solution Architect, Data Engineer, Data Scientist certifications are mandatory. Pre-Sales Responsibilities: Stakeholder Engagement: Work with product stakeholders to analyze functional and non-functional requirements, ensuring alignment with business objectives. Solution Development: Develop end-to-end solutions involving multiple products, ensuring security and performance benchmarks are established, achieved, and maintained. Proof of Concepts (POCs): Develop POCs to demonstrate the feasibility and benefits of proposed solutions. Client Communication: Communicate system requirements and solution architecture to clients and stakeholders, providing technical assistance and guidance throughout the pre-sales process. Technical Presentations: Prepare and deliver technical presentations to prospective clients, demonstrating how proposed solutions meet their needs and requirements. Additional Responsibilities: Stakeholder Collaboration: Engage with stakeholders to understand their requirements and translate them into effective technical solutions. Technology Leadership: Provide technical leadership and guidance to development teams, ensuring the use of best practices and innovative solutions. Integration Management: Oversee the integration of solutions with existing systems and third-party applications, ensuring seamless interoperability and data flow. Performance Optimization: Ensure solutions are optimized for performance, scalability, and security, addressing any technical challenges that arise. Quality Assurance: Establish and enforce quality assurance standards, conducting regular reviews and testing to ensure robustness and reliability. Documentation: Maintain comprehensive documentation of the architecture, design decisions, and technical specifications. Mentoring: Mentor fellow developers and team leads, fostering a collaborative and growth-oriented environment. Qualifications: Education: Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Experience: Minimum of 7 years of experience in data architecture, with a focus on developing scalable and high-performance solutions. Technical Expertise: Proficient in architectural frameworks, cloud computing, database management, and web technologies. Analytical Thinking: Strong problem-solving skills, with the ability to analyze complex requirements and design scalable solutions. Leadership Skills: Demonstrated ability to lead and mentor technical teams, with excellent project management skills. Communication: Excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders. Show more Show less

Job Title : Technology Solution Architect Location: Noida Job Type: Contract / Full time Experience: 5+ Years Shift Timings: 2pm to 11 pm Position Overview: As a Technology Architect, you will be responsible for designing and overseeing the implementation of robust, scalable, and high-performance technology solutions. You will ensure that our solutions meet business objectives, adhere to best practices, and are delivered within the constraints of the project environment. You will work closely with various stakeholders, including project management, business analysis, and development teams, to ensure successful project execution and delivery. Key Responsibilities: Solution Design Principles: Apply design principles, approaches, and processes to enable high-quality outputs and delivery. Solution Architecture Development: Develop solution architectures that incorporate the concerns of business, data, application, and technology domain architectures. Project Constraints: Develop solutions that can be delivered within the constraints of the project or operating environment. Dependency Management: Ensure that solution dependencies and implications are considered (e.g., skills, feasibility, performance, security, maintainability, extensibility, reuse, strategic fit, global alignment). Non-Functional Requirements: Define and manage non-functional requirements and work with project teams to ensure these requirements are met. Technical Expertise: Proven experience in designing and implementing enterprise-level technology solutions. Strong proficiency in programming languages (.Net is a must). Deep understanding of architectural design patterns, including microservices, cloud-native architectures, and service-oriented architecture (SOA). Expertise in Azure cloud platforms (AWS, GCP bonus), database management, and API-driven development. Architecture Governance: Own and manage architecture governance and conduct regular architecture reviews. Define and enforce architectural standards, development best practices, and governance for technology solutions. Technology Standards Integration Standards Security Standards Infrastructure Standards Development Standards Communication: Communicate architectures and concepts to other technology and business teams as appropriate and at different organizational levels. Project Collaboration: Work closely with the project management and business analysis teams to ensure development projects are executed and managed effectively to meet deadlines, budgets, and outcomes. Support: Provide support to business analysts and other project team members during functional/non-functional requirements definition to ensure they are technically achievable and feasible within project constraints. Pre-Sales Responsibilities: Stakeholder Engagement: Work with product stakeholders to analyze functional and non-functional requirements, ensuring alignment with business objectives. Solution Development: Develop end-to-end solutions involving multiple products, ensuring security and performance benchmarks are established, achieved, and maintained. Proof of Concepts (POCs): Develop POCs to demonstrate the feasibility and benefits of proposed solutions. Client Communication: Communicate system requirements and solution architecture to clients and stakeholders, providing technical assistance and guidance throughout the pre-sales process. Technical Presentations: Prepare and deliver technical presentations to prospective clients, demonstrating how proposed solutions meet their needs and requirements. Additional Responsibilities: Stakeholder Collaboration: Engage with stakeholders to understand their requirements and translate them into effective technical solutions. Technology Leadership: Provide technical leadership and guidance to development teams, ensuring the use of best practices and innovative solutions. Integration Management: Oversee the integration of solutions with existing systems and third-party applications, ensuring seamless interoperability and data flow. Performance Optimization: Ensure solutions are optimized for performance, scalability, and security, addressing any technical challenges that arise. Quality Assurance: Establish and enforce quality assurance standards, conducting regular reviews and testing to ensure robustness and reliability. Documentation: Maintain comprehensive documentation of the architecture, design decisions, and technical specifications. Mentoring: Mentor fellow developers and team leads, fostering a collaborative and growth-oriented environment. Certification Relevant certifications such as Azure Certified Solutions Architect (MUST), TOGAF, or equivalent are a plus. Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. Experience: Minimum of 5+ years of experience in technology architecture, with a focus on developing scalable and high-performance solutions. Technical Expertise: Proficient in architectural frameworks, cloud computing, database management, and web technologies. Analytical Thinking: Strong problem-solving skills, with the ability to analyze complex requirements and design scalable solutions. Leadership Skills: Demonstrated ability to lead and mentor technical teams, with excellent project management skills. Communication: Excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders.

Job Title : Data Architect Location: Noida, India Data Architecture Design: Design, develop, and maintain the enterprise data architecture, including data models, database schemas, and data flow diagrams. Develop a data strategy and roadmap that aligns with business objectives and ensures the scalability of data systems. Architect both transactional (OLTP) and analytical (OLAP) databases, ensuring optimal performance and data consistency. Data Integration & Management: Oversee the integration of disparate data sources into a unified data platform, leveraging ETL/ELT processes and data integration tools. Design and implement data warehousing solutions, data lakes, and/or data marts that enable efficient storage and retrieval of large datasets. Ensure proper data governance, including the definition of data ownership, security, and privacy controls in accordance with compliance standards (GDPR, HIPAA, etc.). Collaboration with Stakeholders: Work closely with business stakeholders, including analysts, developers, and executives, to understand data requirements and ensure that the architecture supports analytics and reporting needs. Collaborate with DevOps and engineering teams to optimize database performance and support large-scale data processing pipelines. Technology Leadership: Guide the selection of data technologies, including databases (SQL/NoSQL), data processing frameworks (Hadoop, Spark), cloud platforms (Azure is a must), and analytics tools. Stay updated on emerging data management technologies, trends, and best practices, and assess their potential application within the organization. Data Quality & Security: Define data quality standards and implement processes to ensure the accuracy, completeness, and consistency of data across all systems. Establish protocols for data security, encryption, and backup/recovery to protect data assets and ensure business continuity. Mentorship & Leadership: Lead and mentor data engineers, data modelers, and other technical staff in best practices for data architecture and management. Provide strategic guidance on data-related projects and initiatives, ensuring that all efforts are aligned with the enterprise data strategy. Required Skills & Experience: Extensive Data Architecture Expertise: Over 7 years of experience in data architecture, data modeling, and database management. Proficiency in designing and implementing relational (SQL) and non-relational (NoSQL) database solutions. Strong experience with data integration tools (Azure Tools are a must + any other third party tools), ETL/ELT processes, and data pipelines. Advanced Knowledge of Data Platforms: Expertise in Azure cloud data platform is a must. Other platforms such as AWS (Redshift, S3), Azure (Data Lake, Synapse), and/or Google Cloud Platform (BigQuery, Dataproc) is a bonus. Experience with big data technologies (Hadoop, Spark) and distributed systems for large-scale data processing. Hands-on experience with data warehousing solutions and BI tools (e.g., Power BI, Tableau, Looker). Data Governance & Compliance: Strong understanding of data governance principles, data lineage, and data stewardship. Knowledge of industry standards and compliance requirements (e.g., GDPR, HIPAA, SOX) and the ability to architect solutions that meet these standards. Technical Leadership: Proven ability to lead data-driven projects, manage stakeholders, and drive data strategies across the enterprise. Strong programming skills in languages such as Python, SQL, R, or Scala. Certification: Azure Certified Solution Architect, Data Engineer, Data Scientist certifications are mandatory. Pre-Sales Responsibilities: Stakeholder Engagement: Work with product stakeholders to analyze functional and non-functional requirements, ensuring alignment with business objectives. Solution Development: Develop end-to-end solutions involving multiple products, ensuring security and performance benchmarks are established, achieved, and maintained. Proof of Concepts (POCs): Develop POCs to demonstrate the feasibility and benefits of proposed solutions. Client Communication: Communicate system requirements and solution architecture to clients and stakeholders, providing technical assistance and guidance throughout the pre-sales process. Technical Presentations: Prepare and deliver technical presentations to prospective clients, demonstrating how proposed solutions meet their needs and requirements. Additional Responsibilities: Stakeholder Collaboration: Engage with stakeholders to understand their requirements and translate them into effective technical solutions. Technology Leadership: Provide technical leadership and guidance to development teams, ensuring the use of best practices and innovative solutions. Integration Management: Oversee the integration of solutions with existing systems and third-party applications, ensuring seamless interoperability and data flow. Performance Optimization: Ensure solutions are optimized for performance, scalability, and security, addressing any technical challenges that arise. Quality Assurance: Establish and enforce quality assurance standards, conducting regular reviews and testing to ensure robustness and reliability. Documentation: Maintain comprehensive documentation of the architecture, design decisions, and technical specifications. Mentoring: Mentor fellow developers and team leads, fostering a collaborative and growth-oriented environment. Qualifications: Education: Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Experience: Minimum of 7 years of experience in data architecture, with a focus on developing scalable and high-performance solutions. Technical Expertise: Proficient in architectural frameworks, cloud computing, database management, and web technologies. Analytical Thinking: Strong problem-solving skills, with the ability to analyze complex requirements and design scalable solutions. Leadership Skills: Demonstrated ability to lead and mentor technical teams, with excellent project management skills. Communication: Excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders.

Experience: 7+ Years Location: Noida-Sector 64 Contract to hire Key Responsibilities: Data Architecture Design: Design, develop, and maintain the enterprise data architecture, including data models, database schemas, and data flow diagrams. Develop a data strategy and roadmap that aligns with the business objectives and ensures the scalability of data systems. Architect both transactional (OLTP) and analytical (OLAP) databases, ensuring optimal performance and data consistency. Data Integration & Management: Oversee the integration of disparate data sources into a unified data platform, leveraging ETL/ELT processes and data integration tools. Design and implement data warehousing solutions, data lakes, and/or data marts that enable efficient storage and retrieval of large datasets. Ensure proper data governance, including the definition of data ownership, security, and privacy controls in accordance with compliance standards (GDPR, HIPAA, etc.). Collaboration with Stakeholders: Work closely with business stakeholders, including analysts, developers, and executives, to understand data requirements and ensure that the architecture supports analytics and reporting needs. Collaborate with DevOps and engineering teams to optimize database performance and support large-scale data processing pipelines. Technology Leadership: Guide the selection of data technologies, including databases (SQL/NoSQL), data processing frameworks (Hadoop, Spark), cloud platforms (Azure is a must), and analytics tools. Stay updated on emerging data management technologies, trends, and best practices, and assess their potential application within the organization. Data Quality & Security: Define data quality standards and implement processes to ensure the accuracy, completeness, and consistency of data across all systems. Establish protocols for data security, encryption, and backup/recovery to protect data assets and ensure business continuity. Mentorship & Leadership: Lead and mentor data engineers, data modelers, and other technical staff in best practices for data architecture and management. Provide strategic guidance on data-related projects and initiatives, ensuring that all efforts are aligned with the enterprise data strategy. Required Skills & Experience: Extensive Data Architecture Expertise: Over 7 years of experience in data architecture, data modeling, and database management. Proficiency in designing and implementing relational (SQL) and non-relational (NoSQL) database solutions. Strong experience with data integration tools (Azure Tools are a must + any other third party tools), ETL/ELT processes, and data pipelines. Advanced Knowledge of Data Platforms: Expertise in Azure cloud data platform is a must. Other platforms such as AWS (Redshift, S3), Azure (Data Lake, Synapse), and/or Google Cloud Platform (BigQuery, Dataproc) is a bonus. Experience with big data technologies (Hadoop, Spark) and distributed systems for large-scale data processing. Hands-on experience with data warehousing solutions and BI tools (e.g., Power BI, Tableau, Looker). Data Governance & Compliance: Strong understanding of data governance principles, data lineage, and data stewardship. Knowledge of industry standards and compliance requirements (e.g., GDPR, HIPAA, SOX) and the ability to architect solutions that meet these standards. Technical Leadership: Proven ability to lead data-driven projects, manage stakeholders, and drive data strategies across the enterprise. Strong programming skills in languages such as Python, SQL, R, or Scala. Certification: Azure Certified Solution Architect, Data Engineer, Data Scientist certifications are mandatory. Pre-Sales Responsibilities: Stakeholder Engagement: Work with product stakeholders to analyze functional and non-functional requirements, ensuring alignment with business objectives. Solution Development: Develop end-to-end solutions involving multiple products, ensuring security and performance benchmarks are established, achieved, and maintained. Proof of Concepts (POCs): Develop POCs to demonstrate the feasibility and benefits of proposed solutions. Client Communication: Communicate system requirements and solution architecture to clients and stakeholders, providing technical assistance and guidance throughout the pre-sales process. Technical Presentations: Prepare and deliver technical presentations to prospective clients, demonstrating how proposed solutions meet their needs and requirements. Additional Responsibilities: Stakeholder Collaboration: Engage with stakeholders to understand their requirements and translate them into effective technical solutions. Technology Leadership: Provide technical leadership and guidance to development teams, ensuring the use of best practices and innovative solutions. Integration Management: Oversee the integration of solutions with existing systems and third-party applications, ensuring seamless interoperability and data flow. Performance Optimization: Ensure solutions are optimized for performance, scalability, and security, addressing any technical challenges that arise. Quality Assurance: Establish and enforce quality assurance standards, conducting regular reviews and testing to ensure robustness and reliability. Documentation: Maintain comprehensive documentation of the architecture, design decisions, and technical specifications. Mentoring: Mentor fellow developers and team leads, fostering a collaborative and growth-oriented environment. Qualifications: Education: Bachelor’s or master’s degree in computer science, Information Technology, or a related field. Experience: Minimum of 7 years of experience in data architecture, with a focus on developing scalable and high-performance solutions. Technical Expertise: Proficient in architectural frameworks, cloud computing, database management, and web technologies. Analytical Thinking: Strong problem-solving skills, with the ability to analyze complex requirements and design scalable solutions. Leadership Skills: Demonstrated ability to lead and mentor technical teams, with excellent project management skills. Communication: Excellent verbal and written communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders.