Application Architect Sap Hana Master Data Governance jobs

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

• Experience selling databases and/or deploying applications with any of the major cloud providers
• Experience with database programming and data models
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

MongoDB Product Suite Mastery

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

Market-Relevant Technologies

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

Modern Architecture Design

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

Sales Techniques and Soft Skills

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

Industry Insights

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

• At least 5 years of experience in an engineering management position. A manager of engineering managers is a plus
• Proven success with hiring for, mentoring and growing strong geographically distributed software engineering teams
• Committed to building and fostering a diverse and supportive culture
• Excellent verbal and written technical communication skills and desire for cross-team collaboration
• Excellent time management skills and the ability to make and evaluate realistic assessments of project complexity
• Proven success in designing, writing, testing and maintaining distributed and/or highly concurrent software systems in large, long-lived code bases. C knowledge is a plus
• At least 7 years of experience in programming, debugging and performance tuning, and have a strong grip on the foundational material of computer science
• Strong interest in the theory and practice of database internals

• Contribute ideas and work with Product Management as well as senior engineering leadership to build a roadmap for the team’s deliverables
• Ensure smooth and timely execution of projects
• Appropriately allocate team resources, balancing efforts between building new features and supporting/maintaining previous releases.
• Grow your organization ensuring desirable skill composition, high job satisfaction and vibrant culture
• Delegate effectively splitting your own time between technical and management aspects of the position

Within 3 months

• You know your team members’ strengths and professional objectives
• You have experienced all aspects of the software development lifecycle by handling a ticket end-to-end
• You have taken over management of your team, and are starting to build trust with your reports
• You have assumed responsibility for the day-to-day processes necessary to keep the lights on

Within 6 months

• You know the technical architecture of the MongoDB database system
• You have established your role as a leader in the organization such that team members naturally go to you for guidance
• You are beginning to involve yourself in planning and roadmapping efforts
• You are ensuring your team delivers with high quality and predictability
• You have established working professional relationships with other key leads and directors

Within 12 months

• You have a vision for the future of the Storage Engines team and helped develop a plan to achieve that vision
• You have performed a full annual cycle of performance and growth conversations with your team members
• You have increased the capability and velocity of your team in measurable ways

Req ID - 3263280896

• Collaborate with MongoDB AMP presales team and customer stakeholders to assess legacy applications, their architecture, and dependencies
• Design target-state microservice architectures on MongoDB that meet customer business, technical, and operational requirements
• Develop modernization roadmaps using the strangler pattern to progressively replace legacy components with modern MongoDB-based services
• Define and document data synchronization strategies for hybrid (part legacy / part modernized) deployment states
• Architect solutions for integration and data consistency across the broader enterprise application landscape
• Facilitate technical workshops and discovery sessions with customer architects, developers, and business leaders
• Produce presales deliverables including initial solution architectures, modernization proposals, and presentations to communicate design merits
• Produce post-sales detailed technical designs and guide MongoDB services teams and customer teams during implementation
• Provide architectural governance and direction throughout modernization projects to ensure quality, scalability, and best practices

• 8+ years of experience in solution architecture, enterprise architecture, or modernization-focused technical leadership roles
• Proven track record of designing and delivering modern, cloud-native, microservices-based architectures
• Hands-on experience with application modernization strategies, including the strangler fig pattern, domain-driven design, and event-driven architectures
• Demonstrated experience with data architecture, including migration, synchronization, and integration patterns for heterogeneous systems
• Familiarity with at least one of the legacy technology ecosystems being modernized:
• RDBMS-centric applications (PL/SQL, T-SQL)
• Monolithic Java or .NET applications
• Strong customer-facing skills: ability to facilitate workshops, present designs, and influence technical decision-making
• Experience working across both presales (solutioning, proposals) and delivery (detailed design, governance)
• Excellent communication, presentation, and documentation skills
• Willingness to travel as needed for customer engagement (approximately 25% travel)

• Overall Program Planning
  • Establishing program objectives and goals
  • Establishing inter and intra dependencies to complete the program on-time
  • Developing a detailed program management plan that integrates scope, schedule, budget, risk, communication, quality, and integration strategies
• Contract and Finance Management
  • Expertise in creating, meticulously tracking, and strictly controlling a large, fixed budget. This includes accurate forecasting, variance analysis, and proactive cost optimization
  • Thorough understanding and effective management of the contractual terms such as scope, change control, milestone deliverables, quality and performance, financial payment terms and penalties
  • Program Delivery and Governance
  • Developing and maintaining a highly detailed and integrated master schedule that accounts for all integration activities, critical milestones, and interdependenciesIdentifying the critical path with precision and proactively managing activities along this path to ensure on-time delivery of the integrated system
  • Actively enforcing adoption of MongoDB’s Agentic AI platform for automating all aspects of legacy application modernization. This will be a key metric for the overall success of the program
  • Diligently monitoring progress against the established schedule, proactively identifying potential delays, and implementing effective mitigation strategies to stay on track
  • Managing resources and optimizing the allocation of resources with the right number, at the right time from the right geographies to meet demanding schedules without causing over or under utilization
  • Managing stakeholders communicating effectively to ensure customers and MongoDB’s objectives are met and to communicate program status on a weekly, monthly, and quarterly basis to various levels of customer organizations
  • Program status reporting to ensure all program metrics are tracked and reported to ensure programs are running on-time, on-budget while meeting customer expectations
  • Ensure delivery processes are followed, which includes timely and accurate feedback to engineering teams to improve the Agentic AI platform as part of its on-going development and evolution
• Team Leadership and Management
  • Providing leadership to a matrixed team spanning different geographies and cultures to operate as one cohesive unit to achieve overall program objectives

• 10+ years of program management experience leading enterprise-scale technology transformation programs
• Excellent customer interaction and presentation skills (ability to present to different audiences and bring the message across in a concise, professional manner)
• Demonstrated belief in the power of stakeholder management and communications; track record of affecting change through stakeholder engagement
• Services delivery experience with diverse teams that span geographies and cultures
• Ability to travel to customer sites to actively engage and build trusted partner relationships across the customer organisation

• Agentic AI driven integrated development Platform
• Legacy Modernization Methodologies
• Document Database
• Delivery Excellence

• Ideally 8 to 11 years of related experience in a customer facing role, with 5 to 7 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

• Experience selling databases and/or deploying applications with any of the major cloud providers
• Experience with database programming and data models
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

In this role, you will work on complex opportunities where analysis of situations or data requires an in-depth evaluation of various factors. You will:

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries