6 Enterprise Architectures Jobs

You should have 5-10 years of IT experience with at least 2 years of Data Architecture experience in Data Warehouse, including 3+ years in Snowflake. It is mandatory to have expertise in Snowflake, DBT, and Data Architecture Design for Data Warehouse. Additionally, having Informatica or any ETL knowledge or hands-on experience would be beneficial. Understanding of Databricks is also preferred. As a Data Architect, your responsibilities will include designing, implementing, and managing cloud-based solutions on AWS and Snowflake. You will collaborate with stakeholders to gather requirements and design solutions that meet their needs. Developing and executing test plans for new solutions will be part of your role. You will be responsible for overseeing and designing the information architecture for the data warehouse, optimizing Snowflake configurations and data pipelines for improved performance, scalability, and efficiency. Your role will require a deep understanding of Data Warehousing, Enterprise Architectures, Dimensional Modeling, Star & Snowflake schema design, Reference DW Architectures, ETL Architect, ETL (Extract, Transform, Load), Data Analysis, Data Conversion, Transformation, Database Design, Data Warehouse Optimization, Data Mart Development, and Enterprise Data Warehouse Maintenance and Support. You should have significant experience working as a Data Architect with expertise in data integration and data architecture for Enterprise Data Warehouse implementations. Maintaining detailed documentation for data solutions and processes, providing training and leadership to share expertise and best practices with the team, and collaborating with the data engineering team to ensure that data solutions are developed according to best practices will also be part of your responsibilities. This is a full-time position based in Hyderabad, Telangana, requiring in-person attendance from Monday to Friday. Candidates should be willing to commute or relocate before starting work. Please provide your total work experience of 5 years, along with your expertise in DBT, AWS, Snowflake, and Data Architecture experience in Data Warehouse. Additionally, share your current location, current CTC, expected CTC, and notice period/LWD.,

You will be responsible for designing, building, maintaining, and supporting the Apigee infrastructure. This includes defining the overall API architecture, implementing APIs, integrating and deploying API management platforms like APIGEE. You should have the ability to understand pilot implementation plans, develop governance processes, CI/CD methodology, API versioning and monetization strategies, as well as best practices covering security, audit, error handling, logging frameworks, and API design guidelines. Automation through Ansible and Python scripts is a must. Your role will involve designing and implementing API Gateway solutions, leading analytical and consulting sessions to solve technical problems faced by application teams, facilitating disaster recovery exercises, and leading capacity planning activities. You will troubleshoot and resolve production issues related to the Apigee platform, conduct root cause analysis sessions, and ensure documentation is created and updated for Apigee-related work. Building relationships with client application teams, mentoring junior engineers, and participating in business and functional requirements meetings are also key responsibilities. You will need experience with authentication and authorization mechanisms, API security standards (OAuth, Open ID), and participation in the creation of technical specifications, design documents, and data mapping. Establishing best practices and guidelines for APIGEE implementation, reducing build costs, and preparing implementation plans are essential tasks. Your expertise should include API design, Apigee Gateway knowledge, API policies deployment, and working with monitoring/logging tools like Azure Monitor, Dynatrace, and Splunk. A Bachelor's or Master's degree in computer science is required, along with hands-on DevOps experience and strong communication skills. You should have a solid understanding of Apigee infrastructure, automation scripts using Python and Ansible, API design, and API management. Experience with API Gateway solutions, SDLC processes, infrastructure setup, monitoring tools, production support, and security tools is also necessary. Additionally, you should be capable of quickly learning new technologies and developing innovative solutions.,

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Assistant Vice President-AI Architect/Solution Architect! Position Overview: We are seeking an exceptional Senior Technology Leader to drive AI-led innovation and strategic technology discussions at the highest executive levels (CIO, CDO, CTO, CXO). This role demands a visionary leader who can shape enterprise AI strategy, influence stakeholders, and guide organizations through transformative journeys leveraging Generative AI, Agentic AI, and next-generation technologies. Key Responsibilities: - Act as a trusted advisor to C-level executives (CIO, CDO, CTO, CXO) to shape AI and technology transformation strategies. - Lead enterprise-wide AI thought leadership, including Generative AI, Agentic AI, and emerging technologies. - Develop and drive technology roadmaps aligned with business objectives and innovation priorities. - Represent the organization at industry forums, executive briefings, and key customer engagements. - Partner with product, engineering, data, and business teams to translate vision into executable initiatives. - Identify AI-driven growth opportunities and drive executive buy-in for pilot and scale initiatives. - Build and mentor a high-performing cross-functional team of AI strategists, architects, and engineers. - Lead enterprise education on AI ethics, governance, and responsible AI deployment. Qualifications we seek in you! Minimum Qualifications Education: - Bachelor&rsquos/ Master&rsquos degree in Computer Science , Engineering, Data Science, or related field. - MBA or Executive Education from a reputed institution is a plus. Experience: - Strong Technologist with a background in End to End Solutioning/Architecting experience. - Experience in executive-level advisory roles, engaging with C-suite stakeholders. - Hands-on leadership in AI/ML initiatives, including Generative AI, Agentic AI and Conversational AI. - Experience driving enterprise-scale digital transformation and innovation initiatives. - Proven track record of building and leading high-performance teams in fast-paced environments. Primary Skills (Must-Have): - Executive presence and exceptional communication skills for C-level conversations. - Deep understanding of AI technologies: Generative AI (LLMs), Agentic AI frameworks, Conversational AI, ML Ops. - Deep understanding of one of the Business/Domain expertise - for e.g. Retail, FS, CPG, Life Science, HealthCare. - Strategic thinking and ability to articulate AI&rsquos business impact in boardroom settings. - Strong understanding of AI governance, ethics, risk management, and compliance. - Experience in designing AI-enabled enterprise architectures and data strategies. Preferred Qualifications Secondary Skills (Good-to-Have): - Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML services offered. - Understanding of data platforms, APIs, integration strategies, and agent-based architectures. - Knowledge of modern software engineering practices (microservices, APIs, DevOps). - Exposure to industry-specific AI applications (Finance, Healthcare, Manufacturing, etc.). - Public speaking experience at conferences, webinars, or industry forums. - MBA or Executive Education from a reputed institution is a plus. Leadership & Personal Attributes: - Visionary thinker with a passion for emerging technologies. - Influential leader with ability to inspire both technical and non-technical audiences. - High emotional intelligence, with ability to build trust at all organizational levels. - Strong executive storytelling capabilities turning complex technology into compelling narratives. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

You have a great opportunity to join our team as a Data Architect with 9+ years of experience. In this role, you will be responsible for designing, implementing, and managing cloud-based solutions on AWS and Snowflake. Your main tasks will include working with stakeholders to gather requirements, designing solutions, developing and executing test plans, and overseeing the information architecture for the data warehouse. To excel in this role, you must have a strong skillset in Snowflake, DBT, and Data Architecture Design experience in Data Warehouse. Additionally, it would be beneficial to have Informatica or any ETL Knowledge or Hands-On Experience, as well as Databricks understanding. You should have 9 - 11 years of IT experience with 3+ years of Data Architecture experience in Data Warehouse and 4+ years in Snowflake. As a Data Architect, you will need to optimize Snowflake configurations and data pipelines to improve performance, scalability, and overall efficiency. You should have a deep understanding of Data Warehousing, Enterprise Architectures, Dimensional Modeling, Star & Snowflake schema design, Reference DW Architectures, ETL Architect, ETL (Extract, Transform, Load), Data Analysis, Data Conversion, Transformation, Database Design, Data Warehouse Optimization, Data Mart Development, and Enterprise Data Warehouse Maintenance and Support. In addition to your technical responsibilities, you will also be required to maintain detailed documentation for data solutions and processes, provide training and leadership to share expertise and best practices with the team, and collaborate with the data engineering team to ensure that data solutions are developed according to best practices. If you have 10+ years of overall experience in architecting and building large-scale, distributed big data products, expertise in designing and implementing highly scalable, highly available Cloud services and solutions, experience with AWS and Snowflake, as well as a strong understanding of data warehousing and data engineering principles, then this role is perfect for you. This is a full-time position based in Hyderabad, Telangana, with a Monday to Friday work schedule. Therefore, you must be able to reliably commute or plan to relocate before starting work. As part of the application process, we would like to know your notice period, years of experience in Snowflake, Data Architecture experience in Data Warehouse, current location, willingness to work from the office in Hyderabad, current CTC, and expected CTC. If you meet the requirements and are excited about this opportunity, we look forward to receiving your application. (Note: Experience: total work: 9 years is required for this position),

Role & responsibilities Design, implement, and manage cloud-based solutions on AWS and Snowflake. Work with stakeholders to gather requirements and design solutions that meet their needs. Develop and execute test plans for new solutions Oversee and design the information architecture for the data warehouse, including all information structures such as staging area, data warehouse, data marts, and operational data stores. Ability to Optimize Snowflake configurations and data pipelines to improve performance, scalability, and overall efficiency. Deep understanding of Data Warehousing, Enterprise Architectures, Dimensional Modeling, Star & Snowflake schema design, Reference DW Architectures, ETL Architect, ETL (Extract, Transform, Load), Data Analysis, Data Conversion, Transformation, Database Design, Data Warehouse Optimization, Data Mart Development, and Enterprise Data Warehouse Maintenance and Support Significant experience working as a Data Architect with depth in data integration and data architecture for Enterprise Data Warehouse implementations (conceptual, logical, physical & dimensional models) Maintain Documentation: Develop and maintain detailed documentation for data solutions and processes. Provide Training: Offer training and leadership to share expertise and best practices with the team Collaborate with the team and provide leadership to the data engineering team, ensuring that data solutions are developed according to best practices Preferred candidate profile Snowflake, DBT, Data Architecture Design experience in Data Warehouse. Good to have Informatica or any ETL Knowledge or Hands-On Experience Good to have Databricks understanding 5+ years of IT experience with 3+ years of Data Architecture experience in Data Warehouse, 4+ years in Snowflake

As a Senior Client Solutions Partner at Quantiphi, you will be an integral part of the core sales and Go-To-Market team. With 8-10 years of experience, you will play a key role in executing end-to-end sales processes within a B2B environment. Your primary responsibilities will revolve around engaging in customer communication, managing relationships, and driving pre-sales activities in the Data Science & Applied AI domain. Your day-to-day tasks will include preparing and delivering technical presentations to customers, developing business collaterals showcasing the potential of ML & AI, and collaborating with Solution Architects and ML engineers to analyze and solve complex business problems using quantitative and qualitative data. You will be expected to plan and execute projects, manage teamwork, and exceed client expectations by providing innovative solutions. In this role, you will have the opportunity to challenge and inspire both customers and peers to tackle difficult problems with ambitious and novel solutions. Additionally, you will work closely with the team to identify and qualify business opportunities, resolve technical blockers, and manage the technical relationship with Google's customers. Your expertise will be crucial in recommending integration strategies, enterprise architectures, and application infrastructure required for successful implementation of solutions on Google Cloud. Furthermore, you will be expected to travel to customer sites, conferences, and related events as necessary. If you are passionate about innovation, excel in a dynamic environment, and enjoy collaborating with enthusiastic individuals, a career at Quantiphi awaits you!,