You will be part of a global digital engineering firm, Srijan, a Material company, that specializes in solving complex technology problems for top-tier brands and companies. With 5-8 years of experience and native HANA modeling expertise, you will play a crucial role in utilizing SQL exposure and ETL skills to drive growth and engagement for our clients. Your proficiency in security and S4HANA Accounting revenue recognition will enhance your contribution to the team. At Material, we value high-impact work, company culture, and employee benefits. As a global company working with best-of-class brands worldwide, we prioritize innovation and value creation in our practice. Joining a talented peer group across various practices, including strategy, design, data & analytics, and technology, you will collaborate with diverse perspectives to amplify our impact on clients. Our commitment to deep human understanding and an outcomes-focused approach allows you to create experiences that matter and make a difference in people's lives. Working with us, you can expect professional development and mentorship opportunities, a hybrid work mode with a remote-friendly workplace, health and family insurance coverage, 40+ leaves per year including maternity & paternity leaves, as well as wellness, meditation, and counseling sessions. Join our community focused on learning, impact-making, and creating new value through meaningful experiences.,
We are seeking a Senior Data Engineer to join our fast-growing data engineering team supporting a large-scale healthcare and nonprofit analytics program for a US-based client. This role will focus on building and optimizing cloud-native data pipelines using AWS services to support analytics, reporting, and stakeholder decision-making. You will work closely with architects, analysts, and product teams to integrate disparate data sources, ensure data quality, and deliver business-critical data solutions at scale. Key Responsibilities Design and implement robust, scalable ETL/ELT pipelines using AWS-native tools Ingest and transform data from multiple sources into S3 , applying schema discovery via AWS Glue Crawlers Develop and orchestrate workflows using Apache Airflow , AWS Step Functions , and Lambda functions Build and optimize data models in Amazon Redshift for analytics consumption Manage and enforce IAM-based access control , ensuring secure data practices Write clean, modular, and reusable code in PySpark and SQL for large-scale data processing Implement monitoring, alerting, and CI/CD pipelines to improve deployment efficiency and reliability Work closely with business stakeholders and analysts to understand data requirements and deliver meaningful insights Participate in code reviews and knowledge-sharing activities across teams. Understands scrum and comfortable working in an Agile environment. Required Skills 4+ years of experience as a Data Engineer, with at least 3+ years working in cloud-native environments (preferably AWS ) Hands-on experience with S3 , Redshift , Glue (ETL & Crawlers) , Lambda , Step Functions , and Airflow Strong programming skills in PySpark and SQL Experience designing and implementing data lakes , data warehouses , and real-time/near-real-time pipelines Familiarity with DevOps , CI/CD pipelines , and infrastructure as code tools (e.g., Git, CloudFormation, Terraform) Understanding of data governance , data security , and role-based access control in cloud environments Strong problem-solving skills and ability to work independently as well as collaboratively Excellent written and verbal communication skills Nice to Have Experience working in domains such as nonprofit, healthcare, or campaign marketing Familiarity with AWS Notebooks, Athena, and CloudWatch Exposure to data observability tools, testing frameworks, or event-driven architectures Experience mentoring junior engineers or leading small teams
About US:- We turn customer challenges into growth opportunities. Material is a global strategy partner to the world s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences. We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve. Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners. Be a part of an Awesome Tribe Position: Technical Architect DevOps Qualifications: Minimum 8+ years of industry experience with strong knowledge of Software Engineering best practices. Proven expertise in designing, implementing, and managing DevOps processes, tools, and infrastructure. Technical Skills & Experience: Must-Have: Programming Languages: Python, Golang, Ruby, JavaScript (experience with any of these). Infrastructure as Code (IaC): Terraform, Ansible (proficiency in at least one). CI/CD Tooling: GitHub Actions, CircleCI, Jenkins, GitLab (hands-on experience with one or more). Cloud Platforms: AWS, Azure, or GCP (extensive hands-on experience with at least one major provider). Containerization & Orchestration: Kubernetes, Docker, Helm. Operating Systems: Linux and Windows (administration and troubleshooting). Networking: Load balancing, network security, standard network protocols. Nice-to-Have: Monitoring & Analytics Tools: Dynatrace, Splunk, Elastic, Prometheus. Container Orchestration Enhancements: RBAC, network policies, service meshes, Cluster API. Project Coordination: Experience managing timelines, priorities, and cross-functional communication. Agile Methodologies: Prior experience working in Agile teams. Key Responsibilities: Lead and guide DevOps initiatives, ensuring best practices are followed across the development and deployment lifecycle. Design, implement, and maintain scalable CI/CD pipelines and infrastructure. Drive automation for cloud infrastructure, deployments, and monitoring systems. Collaborate with development teams, architects, and other stakeholders to align on technical goals. Troubleshoot and resolve complex infrastructure and deployment issues. Mentor team members, fostering continuous learning and technical excellence. What We Expect From You: A growth mindset with a strong willingness to learn emerging technologies in cloud, orchestration, networking, and operating systems. Deep focus on AWS services, with the ability to build and optimize scalable infrastructure. Commitment to knowledge-sharing and skill development within the team. Ability to take ownership, work independently, and deliver results in a fast-paced environment.
About US:- We turn customer challenges into growth opportunities. Material is a global strategy partner to the world s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences. We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve. Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners. Be a part of an Awesome Tribe Position: Technical Lead DevOps Qualifications: Minimum 4+ years of industry experience with strong knowledge of Software Engineering best practices. Proven expertise in designing, implementing, and managing DevOps processes, tools, and infrastructure. Technical Skills & Experience: Must-Have: Programming Languages: Python, Golang, Ruby, JavaScript (experience with any of these). Infrastructure as Code (IaC): Terraform, Ansible (proficiency in at least one). CI/CD Tooling: GitHub Actions, CircleCI, Jenkins, GitLab (hands-on experience with one or more). Cloud Platforms: AWS, Azure, or GCP (extensive hands-on experience with at least one major provider). Containerization & Orchestration: Kubernetes, Docker, Helm. Operating Systems: Linux and Windows (administration and troubleshooting). Networking: Load balancing, network security, standard network protocols. Nice-to-Have: Monitoring & Analytics Tools: Dynatrace, Splunk, Elastic, Prometheus. Container Orchestration Enhancements: RBAC, network policies, service meshes, Cluster API. Project Coordination: Experience managing timelines, priorities, and cross-functional communication. Agile Methodologies: Prior experience working in Agile teams. Key Responsibilities: Lead and guide DevOps initiatives, ensuring best practices are followed across the development and deployment lifecycle. Design, implement, and maintain scalable CI/CD pipelines and infrastructure. Drive automation for cloud infrastructure, deployments, and monitoring systems. Collaborate with development teams, architects, and other stakeholders to align on technical goals. Troubleshoot and resolve complex infrastructure and deployment issues. Mentor team members, fostering continuous learning and technical excellence. What We Expect From You: A growth mindset with a strong willingness to learn emerging technologies in cloud, orchestration, networking, and operating systems. Deep focus on AWS services, with the ability to build and optimize scalable infrastructure. Commitment to knowledge-sharing and skill development within the team. Ability to take ownership, work independently, and deliver results in a fast-paced environment.
Job Summary: We are looking for a detail-oriented and highly skilled Senior QA Engineer to join our team. The ideal candidate will have a strong background in Manual and Automation Testing , hands-on experience with Python Playwright for API automation , and experience with tools like Mongo DB, Splunk and HTML test reporting. Knowledge of Gen AI is a plus. Years of Experience: 5 to 9 years of hands-on experience in test automation Proven experience in test-automation of web and API testing Core Responsibilities to be done on this project: Design, develop, and execute manual and automated test cases based on product requirements. Perform API automation testing using Python + Playwright. Create and manage HTML test reports to communicate test results effectively. Work closely with developers and product teams to define and implement quality standards. Create, maintain, and update test cases, test plans, and bug reports. Utilize MongoDB for data validation and test data setup. Monitor and analyze logs using Splunk to identify and troubleshoot issues. Integrate automated tests with CI/CD pipelines. Leverage knowledge of Generative AI tools and techniques to improve testing and productivity (preferred). Participate in Agile ceremonies (daily standups, sprint planning, retrospectives) Required Skills & Qualifications: 5+ years of experience in QA (Manual + Automation). Strong hands-on experience with Python + Playwright for automation. Experience in building, maintaining, and executing a custom automation testing framework using Python (Playwright + Pytest). Proficiency in API automation Testing. Experience in HTML report generation (pytest-html). Familiarity with MongoDB for test data validation. Exposure to log monitoring tools like Splunk. Strong skills in test case design, execution, and defect tracking using tools like Jira. Understanding of SDLC, STLC, and Agile methodologies. Foundational knowledge of Generative AI tools (preferred). Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions)
About Us We turn customer challenges into growth opportunities. Material is a global strategy partner to the world s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences. We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve. Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners. Role- Senior/Lead Full Stack Developer - Python and React Experience 4+ years Senior/Lead Software Developer Design, develop, and maintain robust, scalable components using Python , React , and TypeScript . Take ownership of full-stack development tasks, from backend services to modern front-end interfaces, ensuring high performance, security, and code quality. Collaborate with Product Owners, Business Analysts, and cross-functional Agile teams to translate complex business requirements into technical solutions. Mentor junior developers, conduct code reviews, and enforce best practices in coding, testing, CI/CD, and architectural design. Troubleshoot performance issues, identify areas for improvement, and contribute to system optimization and refactoring efforts. Stay current with industry trends and bring innovative ideas to enhance the products scalability, maintainability, and user experience.
About US:- We turn customer challenges into growth opportunities. Material is a global strategy partner to the world s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences. We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve. Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners. Be a part of an Awesome Tribe Job Description Databricks Architect Key Responsibilities: Lead the architecture, design, and implementation of end-to-end data solutions on the Databricks Lakehouse Platform . Build and optimize scalable data pipelines for structured and unstructured data using Apache Spark on Databricks. Define and enforce data engineering and architectural best practices. Collaborate with data scientists, analysts, and business stakeholders to understand requirements and translate them into scalable solutions. Architect and lead the design of CI/CD pipelines and automation for Databricks Pipelines. Ensure data governance, security, and compliance in all solutions. Provide technical leadership and mentorship to data engineering teams. Evaluate new tools and technologies to continuously improve platform efficiency and performance. Work with Azure/AWS/GCP cloud environments integrated with Databricks. Required Skills Qualifications: 8+ years of hands-on experience with Databricks , including Spark, Delta Lake, MLflow, and DBSQL. Strong experience in building large-scale ETL/ELT data pipelines . Solid knowledge of data modeling , data warehousing , and distributed computing . Experience with cloud platforms (Azure, AWS, or GCP), preferably Azure. Proven track record of implementing best practices in data engineering and architecture. Proficiency in Python , SQL , and Spark-based processing. Strong understanding of DevOps practices in the context of Databricks (CI/CD, infrastructure as code). Excellent communication and stakeholder management skills. Good to Have: Experience or working knowledge of Microsoft Fabric . Familiarity with Power BI , Synapse Analytics , or other modern BI tools. Certifications related to Databricks or Azure (e.g., Databricks Certified Data Engineer , Microsoft Certified: Azure Solutions Architect )
Perform end-to-end manual UI testing for a Java-based pricing solution in the retail domain , ensuring high-quality user experience across multiple workflows. Analyze business and functional requirements to define acceptance criteria and design detailed test scenarios, test cases, and test data . Execute functional, regression, and UI/UX testing across multiple browsers and devices to ensure visual and functional consistency. Collaborate closely with Developers, Business Analysts, and Product Owners within Agile sprints to validate new features and identify issues early. Document and maintain test artifacts (test cases, test results, regression suites). Log, track, and manage defects using standard defect tracking tools, ensuring timely resolution with the development team. Provide estimates on test effort for planned features and releases. Contribute to process improvement and best practices in testing. Basic knowledge of automation tools/scripting is a plus , with openness to learning and contributing to automation efforts over time. Qualifications Bachelor s degree in Computer Science, Information Technology, or related field (preferred but not mandatory). 3 4 years of experience in manual UI/functional testing . Hands-on experience in cross-browser/device testing . Familiarity with Agile development methodologies. Knowledge of bug-tracking tools (e.g., JIRA, Bugzilla). Good understanding of software QA methodologies and practices. Strong attention to detail and problem-solving skills.
About the Systems Engineer role As a Systems Engineer, you will bring your tech-savvy, user-focused mindset to help support a highly integrated and extensible application landscape and use your blend of expertise across application, database, and infrastructure technologies to ensure the best possible user experience and availability for the business-critical applications under our care. As a Systems Engineer, you will Provide Level 2 and 3 support for a mix of enterprise and line-of-business applications, both client and internally facing. Establish the root cause for service disruptions and escalate to the relevant engineering team or vendor. Monitor application performance, including the set-up and configuration of monitors, determining thresholds, and configuring alerts, and designing and maintaining dashboards for both the team and key stakeholders. Follow best practices for change management, including authoring change requests and presenting them to the CAB as needed. Optimize operational and maintenance processes through integrating new technologies and capabilities. Ensure support requests are resolved in a timely fashion. Analyze logs, traffic flow and configuration data on a periodic basis to detect and address any anomalies or opportunities to optimize. Develop scripts for automation, monitoring, and oversight (PowerShell, Python). Consult with internal software engineering teams, vendors, internal users, and clients to improve application performance and/or add functionality. Document processes, incident triage, actionable bugs, and suggestions (Confluence, Jira) Maintain a record and roadmap for configuration changes and scheduling application updates. About you Excellent communication skills A bachelors degree in computer science, information technology, information systems or similar. Minimum of 5-7 years of experience in a position such as Application Support Engineer, Software Engineer, Systems Administrator, or similar. Proficiency in deploying and maintaining multi-tiered applications, both off-the-shelf and in-house developed and on-premises and in the cloud. Proficiency in troubleshooting, able to quickly help determine cause of application errors and restoring service. Proficiency with monitoring, alerting, and logging tools (New Relic, Logstash). Proficiency supporting WINS-based (Windows, IIS, .NET, SQL Server) solutions. Advanced knowledge of SDLC process and Agile methodology. Knowledge of ITIL practices and service management tools. Working knowledge of cloud platforms (Azure and AWS) is a plus.
Senior/Lead Data Engineer - Databricks We are seeking a highly skilled and experienced Data Engineering Lead with a strong background in the retail domain and exceptional programming abilities. As a Lead, you will play a pivotal role in implementing, and optimizing data architecture to support our retail business operations and analytics initiatives. Your expertise in Spark programming, optimization techniques, and familiarity with Databricks and CI/CD practices will be instrumental in ensuring the efficient and effective management of our data ecosystem. Imp Pointers as below skills should be in the CV Data Platform (Data Engineers) Data Lake: AWS S3 / Azure / Dell Cloud Data Lake with Delta Lake format Data Warehouse: Databricks, IOMETE, Google BigQuery for analytical workloads Batch Processing / Stream Processing: Batch/real-time processing of data pipelines Database: PostgreSQL for transactional data, NoSQL (ex. MongoDB, Cassendra) for document storage Responsibilities: Design and develop data models, data integration processes, and data pipelines to capture, transform, and load structured and unstructured data from various retail sources. Hands-on programming in Spark to develop and optimize data processing applications and analytics workflows. Apply optimization techniques to enhance the performance and efficiency of data processing and analytical tasks. Evaluate and implement appropriate tools and technologies, including Databricks, to streamline data operations and ensure scalability and reliability. Work closely with other team members to ensure data integrity, consistency, and accessibility across the organization. Define and enforce best practices for data governance and data management, including data quality, metadata management, and data security. Collaborate with DevOps teams to establish and maintain CI/CD pipelines for data engineering and analytics workflows. Peer Review of team members deliverables Stay updated with the latest advancements and trends in the retail domain, data architecture, and programming languages to drive continuous improvement. Requirements: At least 5+ years of experience in the data engineering domain. Proven experience as a senior Data Engineer /Lead , preferably within the retail industry . Strong programming skills with expertise in PySpark programming and optimization techniques . Hands-on experience with Databricks, Deltalake and its components for data processing and analytics. Hands-on experience in data modelling, data integration, and ETL/ELT processes . Experience in working with Gitlab pipelines and an in-depth understanding of CI/CD pipeline designs . Experience with data governance, data quality, and metadata management . Strong analytical and problem-solving abilities with a detail-oriented mindset. Excellent communication and collaboration skills to work effectively with cross-functional teams. Ability to adapt to a fast-paced and evolving environment while managing multiple priorities . Good to have experience in at least one of the Cloud Vendor (AWS / Azure / GCP) Good to have experience with streaming technologies as well
Job Description: We are seeking a highly motivated and detail-oriented professional to join our Research and Insights team as a Senior Research Associate. In this role, you will be integral to conducting secondary research to support our research initiatives. You will collaborate closely with project managers and external clients to ensure the accuracy and quality of our deliverables, contributing to strategic decision-making and enhancing our understanding of market dynamics. Responsibilities: Research Insights: Analyze and synthesize information from articles, reports, and various sources to evaluate the competitive landscape and consumer preferences. Conduct thorough competitive analysis and consumer insights research, including the design and execution of surveys and focus groups. Synthesize insights from previous studies and reports to develop actionable recommendations for stakeholders. Present findings clearly and effectively, ensuring they are actionable and aligned with project objectives. Investigate key topics and areas of interest within the client s prior research, providing deeper insights into their needs. Collaborate with internal teams to ensure alignment on findings and agree on next steps for research initiatives. Conduct thorough quality checks on deliverables produced by research associates to ensure accuracy and adherence to project standards. Provide guidance and mentorship to research associates throughout the research process, fostering skill development and best practices. Demonstrate strong project management skills by scoping projects effectively, defining objectives, and planning timelines to meet project deadlines. Collaborate with team members to facilitate smooth workflow and communication, ensuring alignment on project goals and expectations. Monitor project progress and provide regular updates to managers/stakeholders, identifying potential challenges and implementing solutions proactively. Social Media and Marketing Analytics: Demonstrate familiarity with key concepts such as Paid Media Spend, Positioning Messaging, Search Engine Optimization (SEO), and Customer Relationship Management (CRM). Exhibit a comprehensive understanding of various media channels and best practices in creative strategy, including targeting and segmentation. Evaluate and analyze paid media spend across multiple channels, including TV, Out-of-Home (OOH), social media, and Display Advertising. Perform thorough evaluations of current positioning and messaging strategies, including website assessments and marketing materials. Interpret data from SEO tools (eg, Google Search Console, Moz) to inform and optimize marketing strategies. Qualifications: bachelors degree in a relevant field (eg, Market Research, Business Administration with a concentration in Marketing, or related disciplines). 3-5 years of experience in secondary research. Familiarity with social media analytics platforms (eg, Brandwatch, Google Analytics, Meltwater, Captiv8) is advantageous. Exceptional attention to detail and a meticulous approach to all tasks. Excellent verbal and written communication skills, with the ability to convey complex information clearly and concisely. Proven ability to work effectively in a collaborative, team-oriented environment with colleagues from diverse backgrounds. Strong organizational and time management skills, capable of prioritizing and managing multiple tasks simultaneously. Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint) and other relevant software applications. Prior experience in customer research or market research is preferred. nan
We are looking for Senior Developer/ Lead - Data Scientist with strong Generative AI experience, skilled in Python, TensorFlow/PyTorch/Scikit learn, Azure OpenAI GPT, and multi-agent frameworks like LangChain or AutoGen, with strong data preprocessing, feature engineering, and model evaluation expertise. Bonus : familiarity with Big Data tools (Spark, Hadoop, Databricks, SQL/NoSQL) and ReactJS Experience: 5+ year Preferred Location: - Gurgaon/ Bangalore - Generative AI: GenAI models (Eg.: Azure OpenAI GPT), Multi-Agent System Architecture: Proficiency in Python and AI/ML libraries (eg, TensorFlow, PyTorch, Scikit-learn). Experience with LangChain , AutoGen , or similar frameworks for multi-agent systems. Strong knowledge of Data Science techniques, including data preprocessing, feature engineering, and model evaluation. Nice to have: Familiarity with Big Data tools (eg, Spark, Hadoop) / Databricks and databases (eg, SQL, NoSQL). Expertise in ReactJS for building responsive and interactive user interfaces. What We Offer Professional Development and Mentorship. Hybrid work mode with remote friendly workplace. (6 times in a row Great Place To Work Certified). Health and Family Insurance. 40+ Leaves per year along with maternity & paternity leaves. we'llness, meditation and Counselling sessions
Requirements Management: Lead the elicitation, analysis, documentation, and validation of functional and non-functional requirements from diverse business stakeholders. Manual Reconciliation of records (project specific requirement) Process Modeling: Analyze and map current (As-Is) and future (To-Be) business processes, identifying gaps and recommending solutions to improve efficiency and performance. Solution Design & Testing: Work closely with development teams to translate requirements into technical specifications, and support the QA team by reviewing test cases and validating the final solution against business needs. Stakeholder Communication: Facilitate meetings, workshops, and negotiation sessions to drive consensus and effectively communicate project progress and requirements status to all levels of the organization. Project Methodology: Apply expertise in project methodologies (e.g., Agile Scrum, Waterfall) to manage backlogs, prioritize user stories, and ensure requirements traceability throughout the development lifecycle. Tool Proficiency: Utilize requirements management and modeling tools (e.g., Jira, Confluence, BPMN software) to maintain a single source of truth for all project documentation. Gathering business and functional requirements. Developing requirements documents: goal model, functional modeling, business process, customer interactions/wireframes; writing high-level user requirements (Epics and User Stories) and Process flows/analysis in JIRA Preparing use cases and formal requirements documentation. Analyzing and simplifying the requirement scenarios and be able to write prerequisites, Acceptance Criteria. Work closely with the business and technology to gather & write end to end business testing requirements and acceptance criteria. Ensuring that releases are getting completed as per timeline and quality by working closely with the product delivery team and keeping daily track of progress. Coordinate UAT activities prior to new product releases and client onboarding events including tracking of defects and progress of resolution.
Own the Engagement plan to deliver to the expected outcomes & impact Expert of Agile ways of working including SAFe, Scrum, Kanban Manage and plan work for 2 SCRUM Pods of 10-12 members each. One will be full stack application development PoD and other will be a Data team PoD (ETL transformation) Create and drive the engagement plan to deliver to the expected outcomes & impact Ability to understand the scope of the project in order to drive the engagement successfully. Own estimation using Story Points Manage and tarck inter and intra project dependencies Collaborate with Development teams to maintain detailed project plans, Jira boards, epics, stories, tasks, and roadmap milestones Provide visibility and predictability on the plan to key stakeholders through active tracking of the plan, and measuring key metrics (flow, quality, value) Proactively manage Risk/issues/ Dependencies for the engagement Drive backlog refinement and ensure cross-stakeholder alignment on scope and priorities in collaboration with the Product Manager Address Customer issues/ Escalations in cooperation with the Account Manager Own Stakeholder Management, Governance and Communication Identify key stakeholders, their objectives and expectations from the engagement Align engagement plans to deliver to the stakeholder objectives Gather feedback from the stakeholders and define action plan to incorporate the feedback Establish a communication plan for all key internal/external stakeholders Define reports and drive the forums for key stakeholders (daily, weekly, monthly, quarterly) Collaborate with internal stakeholders across Practices to align them on engagement plan, progress, priorities and actions Engage with third-parties/ consultants to improve the solution or resolve any issues/ dependencies Own Team setup and management: Setup the team for success by driving team onboarding, ramp up/knowledge transfer Actively manage the fulfilment needs for the engagement through staffing/ hiring/ contracting. Ensure the required systems are kept updated and provide heads-up/ communication to key stakeholders on the fulfilment status Resolve team conflicts using conflict resolution techniques and encourage team bonding to build trust and collaboration Mentor delivery leaders, team members to build a high performing team by encouraging learning, innovation, career growth amongst team members Manage the Engagement Financials Manage engagement revenue and resource forecasts, and define course correction/ recovery actions. Ensure Margins are met. Manage engagement invoicing/ billing details Support account growth Engage the clients on future roadmap for the Engagement Proactively provide insights on potential business opportunities to Material Client Partner for further exploration Prepare customer proposals and statements of work Actively participate in new Business Development Build an understanding of Material offerings to work more effectively along with a cross-practice team for delivering an engagement successfully Required skills. Minimum experience required is 10 -13 years in software industry. 5+ years Program management experience with end-to-end delivery Industry leading Scrum Master certifications like SAFe/ CSM Should have hands on experience in P&L, Gross Margins, Revenue Target . Strong understanding of Agile and associated toolset (Jira/ ADO/ Test and Dev Automation tools) Understand Full stack technology and Data related ETL tools/Data Engineering processes in order to understand the project scope is a must Proven success in delivering projects within budget and specified timeframes, while ensuring customer satisfaction across different models (T&M, Fixed Price, Staff Aug, Managed Services) Experience in managing an product development team preferably in a multi-geo or offshore environment Excellent leadership and stakeholder management skills Excellent communication, presentation, and planning skills Exceptional organizational, leadership, team management and stakeholder management skills Capacity to embrace change and quickly adapt to new situations, changes in direction, and altering priorities Ability to handle multiple projects PoDs and assignments Ability to demonstrate critical thinking, providing options and recommendations relating to resolving issues, mitigating risks, and resolving escalated items.
Lead and Mentor the team: Hire and attract top talent to the team, creating an environment where designers of all levels can learn, collaborate, and create great work. Manage the team s time, work plans, and resourcing allocations to fit within budget and time constraints Stay up-to-date with industry trends, emerging design patterns and technology advancements to drive innovative solutions. A track record of involvement in the Digital industry/community at large (blogs, speaking, teaching etc.) Lead and Oversee projects: Guide and/or lead projects for Fortune 500 brands and global businesses, driving all aspects of design execution across releases on multiple platforms. Maintain high quality standards for UX design, ensuring the work you and your team is delivers is strategic, aesthetically appealing, improves the experience of users, and supports product and business goals. Oversee creation of high-fidelity UI/UX designs, prototypes, design language systems and interactive mock-ups to effectively communicate design concepts and interactions. Roll up your sleeves and demonstrate how it s done when needed. Collaborate with cross-functional stakeholders to align design efforts with business goals and user needs. Communicate insights, design ideas and recommendations clearly and persuasively to create alignment around solutions. Lead and/or participate in UX research to understand user behaviors and perceptions and create more effective design decisions, recommendations and solutions. Drive growth for Design: Support new business development and scoping of project work in partnership with Client Partners and Product Managers Provide advice and guidance to clients, coaching them on how to effectively incorporate design into their product strategies to achieve better outcomes. Identify design solutions in project work that are scalable and create new opportunities for Material About you: 8+ years of related work experience as a Designer, UI/UX or similar role you Expertise in UX design, visual design, and interaction design, with case study examples of design work across multiple digital platforms. 3+ years of experience managing designers with an exceptional track record of building and empowering your team to help them grow and succeed, including establishing and streamlining workflows and operations Expertise in FIGMA and Adobe suite, and extensive experience in program management tools such as Confluence and Jira and current delivery methodologies (Agile) Knowledgeable in AA WCAG compliance Impeccable written and verbal communication, facilitation, and interpersonal skills Excellent presentation and persuasion skills Open for travel & team leadership at client site in various geographies. An expert at cross cultural communication. Expert knowledge of typography, color theory, and layout composition Team spirit; strong communication skills to collaborate and help lead various stakeholders and team members both in person and remotely. Effectively requests and receives feedback, developing cross-disciplinary trusted relationships
The Salesforce Marketing Cloud Architect is a senior technical leadership role responsible for designing and delivering scalable, data-driven, and personalized customer engagement solutions across Salesforce Marketing Cloud, Salesforce Personalization (Interaction Studio), and Salesforce Data Cloud (CDP). This role bridges marketing strategy, data architecture, and technical execution enabling clients to orchestrate real-time, personalized experiences across channels. The architect will collaborate with marketing, CRM, and data teams to define the future-state marketing architecture, integrate systems, and operationalize audience activation and personalization strategies. Key Responsibilities Solution Architecture Technical Leadership Serve as the primary architect and trusted advisor for Salesforce Marketing Cloud, Personalization (Interaction Studio), and CDP implementations. Define the end-to-end solution architecture spanning audience ingestion, identity resolution, segmentation, activation, and real-time engagement. Design integration frameworks between Data Cloud, Marketing Cloud, and CRM systems (Sales/Service/Experience Cloud) , ensuring unified customer data and seamless orchestration. Architect personalization use cases leveraging Interaction Studio (Personalization), including web and app behavioural tracking, decisioning, and real-time recommendations. Enable cross-cloud activation by integrating CDP segments with Marketing Cloud journeys, digital channels, and advertising destinations. Ensure data privacy, consent management, and governance frameworks are embedded into design. Delivery Ownership Execution Excellence Lead discovery and design workshops with client marketing, data, and technology teams. Define technical design documents, data schemas, and API specifications. Oversee SFMC solution builds across Email Studio, Journey Builder, Mobile Studio, Cloud Pages, and Automation Studio . Build scalable personalization frameworks using Einstein Recommendations, Einstein Engagement Scoring , and Personalization Recipes . Support end-to-end implementation: data ingestion, transformation, campaign orchestration, and testing. Collaborate with data engineering teams for data integration pipelines between CDP and external data sources. Define and enforce technical standards, performance best practices, and DevOps processes (CI/CD, source control, automated deployment). Client Team Leadership Act as a Solution Architect within client and internal teams translating marketing goals into data and technology enablement plans. Partner with strategy and delivery leads to define roadmaps for Marketing Automation, Personalization, and CDP maturity . Guide cross-functional teams (developers, analysts, campaign specialists) through architecture and delivery best practices. Conduct enablement sessions to upskill client teams on platform capabilities and operating models. Support pre-sales and RFP responses through technical scoping, solution definition, and estimation. Required Skills Experience Core Salesforce Expertise 10+ years of total Salesforce experience, with 6+ years hands-on in Salesforce Marketing Cloud Deep technical proficiency with: Marketing Cloud: Email Studio, Journey Builder, Mobile Studio, Automation Studio, Cloud Pages. Personalization (Interaction Studio): Real-time decisioning, web/app personalization, behavioural tracking, and recipe configuration. Data Cloud (CDP): Data modelling, identity resolution, calculated insights, and activation to Marketing Cloud. Strong command of AMP script, SSJS, SQL, REST/SOAP APIs , and external integrations. Hands-on experience integrating SFMC with Sales/Service Cloud , Data Cloud , and external systems via APIs or middleware (MuleSoft preferred). Architecture Data Skills Strong understanding of data architecture, segmentation strategy, and ETL pipelines. Knowledge of real-time data streaming and audience activation frameworks. Ability to design for scalability, security, and compliance (GDPR, CCPA). Experience defining enterprise marketing data models and customer identity resolution logic. Leadership Consulting Skills Proven experience leading multi-cloud implementations or transformation programs. Strong stakeholder management and communication skills able to bridge business, marketing, and IT teams. Skilled at conducting workshops, whiteboarding sessions, and solution demos. Experience working in consulting or agency environments delivering across multiple clients and domains. Certifications Salesforce Marketing Cloud certifications (Developer, Consultant, or Administrator). Salesforce Certified Data Cloud Consultant and/or Salesforce Personalization Accredited Professional preferred. Additional certifications across Salesforce Core Clouds or MuleSoft are a plus. Nice to Have Experience with Journey orchestration across multiple channels and platforms . Familiarity with Adobe, Braze, or other marketing automation platforms for comparative strategy. Exposure to Customer 360 Data Strategy and Marketing Technology road mapping . Awareness of AI-driven activation and predictive segmentation strategies. Soft Skills Highly collaborative, proactive, and results-oriented. Strategic thinker with a strong grasp of both technical depth and marketing vision . Strong analytical mindset with the ability to simplify complex data and architecture topics for business audiences. Excellent presentation, written, and verbal communication skills.
Senior Technical Architect Data Science & Agentic AI About us We turn customer challenges into growth opportunities. Material is a global strategy partner to the world s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences. We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve. Srijan, a Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners. Role summary We re seeking a hands-on Sr. Data Science Architect who can lead the end-to-end modeling lifecycle from problem framing and experiment design to production deployment and monitoring while setting up the technical architecture for ML/GenAI and agentic systems. This is not a data-engineering-heavy role; you ll partner with DE/Platform teams, but your center of gravity is modeling excellence, MLOps, and AI solution architecture that moves business KPIs. What you ll do Strategy & Architecture (Data Science first) Own the technical vision for data-science initiatives; translate ambiguous business goals into modellable problems, KPIs , and NFRs/SLOs . Define reference architectures for classical ML, deep learning, and agentic GenAI (RAG, tool-use, human-in-the-loop) including model registry, evaluation harness, safety/guardrails, and observability. Make build vs. buy and model/provider choices (OpenAI/Claude/Gemini vs open-source), including optimization strategies (INT8/4, AWQ/GPTQ, batching, caching). DS Leadership & Experimentation Lead problem decomposition , feature strategy, experiment design (A/B, interleaving, offline/online eval) , error analysis, and model iteration. Guide teams across NLP, CV, speech, time series, recommendation, clustering/segmentation , and causal/uplift where relevant. Establish rigorous quality bars : data & label quality checks, leakage prevention, reproducibility, and statistical validity. Productionization & MLOps Architect CI/CD for models (unit/contract tests, drift checks, performance gates), model registry/versioning , and safe rollouts (shadow, canary, blue-green). Design monitoring for accuracy, drift, data integrity, latency, cost, and safety (toxicity, bias, hallucination); close the loop with automated retraining triggers where appropriate. Orchestrate RAG pipelines (chunking, embeddings, retrieval policies), agent planning/execution , and feedback loops for continuous improvement. Stakeholders & Enablement Partner with product, strategy/innovation, design, and operations to align roadmaps; run architecture and model review sessions with clear trade-offs. Provide technical mentorship to data scientists/ML engineers; codify patterns via playbooks, ADRs, and reference repos. Collaborate with Ops/SRE to ensure solutions are operable : runbooks, SLIs/SLOs, on-call, and cost controls. Governance, Risk & Compliance Embed model governance : approvals, lineage, audit trails, PII handling, policy-as-code; support GDPR/ISO/SOC2 requirements. Champion human oversight for agentic systems with clear escalation and decision rights. Must-have qualifications 14 20 years delivering AI/ML in production, with 5+ years in an architect/tech-lead capacity. Expert Python and ML stack ( PyTorch and/or TensorFlow ), plus strong SQL and software engineering fundamentals (testing, packaging, profiling). Proven record architecting scalable DS solutions on AWS/Azure/GCP ; hands-on with Docker and Kubernetes (collaborating with platform teams rather than building infra from scratch). MLOps proficiency: MLflow/Kubeflow , model registry, pipelines (Airflow / Prefect / Vertex / Bedrock / SageMaker pipelines), feature stores, and real-time/batch serving ( KServe/Seldon/Triton/vLLM/Ray Serve ). Depth across traditional ML and DL (NLP, CV, speech, time-series, recommendation, clustering/segmentation) and the ability to select/prioritize the right approach for the KPI. Excellence in communication and stakeholder leadership ; experience guiding cross-functional teams (DS, MLE, DE, Product, Ops) to ship value. Preferred qualifications Agentic AI & RAG: LangChain/LangGraph or equivalent orchestration; vector DBs ( pgvector , Pinecone, Weaviate, Qdrant); retrieval policy design and evaluation. Evaluation & Safety: offline metrics (precision/recall, ROC/PR, BERT-F1, BLEU/ROUGE), LLM eval harnesses , red-teaming, prompt/response guardrails. Experimentation: online testing at scale, counterfactual/causal inference, telemetry design. Performance & Cost: quantization, speculative decoding, KV caching, batching/collation, throughput tuning on CPU/GPU. Familiarity with data-viz/decision support (Tableau/Power BI/D3) and UX/HCI collaboration for human-in-the-loop designs. Consulting experience or multi-vendor delivery; pre-sales/SoW exposure.
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