Knowledge And Data Architect Jobs

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. Role Summary As a Data Architect , you will lead the architecture and data design work, working closely with Data Engineers, Business Analysts, BI teams, and client technology and business stakeholder in the Data Lake/Lakehouse implementation project. What You’ll Do Designing the target Lakehouse architecture and end-to-end data flows. Defining data models, canonical structures and reusable data-product patterns . Designing scalable and reusable batch, CDC and streaming ingestion patterns . Establishing data architecture standards covering data quality, reconciliation, lineage, governance, security and access . Assessing and aligning the solution with existing enterprise and regional architecture standards. Supporting source-to-target mapping, data migration and integration design. Providing technical leadership and guidance to Data Engineering teams throughout implementation. Supporting solution design reviews, testing, production readiness and BAU handover. What We’re Looking For 6+ years of experience in data architecture, data engineering, or related roles. Strong expertise in Azure, Databricks, Delta Lake, data modelling, data architecture, data integration/ETL, data governance and cloud architecture. Experience designing enterprise data platforms and data products, particula

Education: Master or Bachelor’s degree in computer science, information systems management or related field. Solution and Architecture certifications such as TOGAF or other. Experiences: More than 12+ years of experience in information technology, with 8+ years spent in data architecture or technology solutions definitions and implementations. Extensive experience in banking and financial services domain Knowledge & Skills: Expertise in Data Architecture, Data Strategy and Roadmap for large and complex organization and systems and implemented large scale end-to-end Data Management & Analytics solutions Experience in transforming traditional Data Warehousing approaches to Big Data based approaches and proven track record of managing risks and data security Expertise with DW Dimensional modeling techniques, Star & Snowflake schemas, modeling slowly changing dimensions and role playing dimensions, dimensional hierarchies, and data classification Experiences in cloud native principals, designs and deployments. Extensive experience working with and enhancing Continuous Integration (CI) and Continuous Development (CD) environments Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, and Data Archival Define workload migration strategies using appropriate tools Drive delivery in a matrixed environment working with various internal IT partners Demonstrated ability to work in a fast paced and changing environment with short deadlines, interruptions, and multiple tasks/projects occurring simultaneously Must be able to work independently and have skills in planning, strategy, estimation, scheduling, Strong problem solving, influencing, communication, and presentation skills, self-starter Experience with data processing frameworks and platforms (Informatica, Hadoop, Presto, Tez, Hive, Spark etc.) Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Python, GIT, Jenki

What you will be doing: Key responsibilities As a Data Engineer Intern, your role will encompass: ● Supporting to conduct ambitious projects in the transformation of clients through data ● Collaborating with the consulting and data team to provide comprehensive services to clients ● Using your technical abilities to assist in the transformation of clients’ marketing department Among your responsibilities as a Data Engineer Intern, you will be responsible for: ● Help securing delivery on projects with Data Engineer ● Communicating the success of projects among the company ● Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs ● Ensuring that your solutions are bringing values to the client problematic ● Being a good team player, knowing your role and responsibility in the global ambition ● Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring Being a great tech person ● Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives ● Researching and developing new technical approaches to address problems efficiently ● Sharing best practices and contributing to Artefact’s institutional knowledge ● Embodying Artefact’s values and inspiring others to do the same ● Experience working with Big Data technologies such as Hadoop, Spark, Kafka... ● Delivering Data Lake / Big Data projects including (data ingestion, machine learning model application, code deployment) ● Being able to adapt your solutions and approaches to technical environment (security, access, tools) Qualifications :Education and Experience ● Bachelor’s degree in Software Engineering, Computer Engineering, or related fields ● Solid knowledge of computer science, data processing and data architecture ● Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an

Citi's Investor Services Technology group is seeking a technically exceptional and domain-savvy Data Architect to serve as the definitive data architecture authority across the Investor Services (IS) program — spanning Custody, Fund Administration, and Securities Finance. This is explicitly a hands-on architect role . The successful candidate will be expected to write, review, and validate architecture artifacts, data models, canonical schemas, and technical standards. You will be embedded with delivery teams, working directly with business analysts, data engineers, and technology leads to produce production-quality data architecture outputs that the entire IS program depends on. You will also lead the design and delivery of a suite of data architecture utilities — reusable tooling, accelerators, and automation that dramatically compress the time to deliver consistent, standards-compliant data integrations across Investor Services platforms. This role is a rare opportunity to set the data foundations for one of the most complex and consequential technology transformation programs in global financial services. Deep Custody and/or Fund Services domain knowledge is a prerequisite, not a preference. Responsibilities: Da ta Architecture Principles & Standards Define, document, and own the Investor Services data publication architecture principles — governing data modelling standards, naming conventions, versioning strategies, API data contracts, and data quality rules across all IS technology domains. Architecture Pattern Standardization Work with delivery leads across all 50+ IS platforms to define, document, and enforce standardized architecture patterns for data generation, transformation, and consumption — covering batch, near-real-time,

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and partners to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned software architects and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our field partner leaders and play a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We're looking to speak with candidates based in São Paulo for our hybrid working model. As an ideal candidate, you will have 8+ years of pre-sales experience with enterprise software and technical aptitude Working knowledge and ability to code with one or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) Experience with scalable and highly available distributed systems 2+ years of software development experience Excellent presentation and communication skills The ability to travel up to 50% A Bachelor’s degree or equivalent work experience As an ideal candidate, you may also have Experience selling databases and/or deploying applications with any of the major cloud providers Experience with database programming and data modelling Knowledge of modern technologies - their function and integration requirements - e.g. Spark, cloud storage/streaming, API mgmt, Kafka, serverless. A cloud provider certification A MongoDB Certification What you do at MongoDB You work with our advisory consulting partners on reference architectures, patterns, and AI blueprints for making t

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and partners to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned software architects and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our field partner leaders and play a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We're looking to speak with candidates based in Mexico City for our hybrid working model. As an ideal candidate, you will have 8+ years of pre-sales experience with enterprise software and technical aptitude Working knowledge and ability to code with one or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) Experience with scalable and highly available distributed systems 2+ years of software development experience Excellent presentation and communication skills The ability to travel up to 50% A Bachelor’s degree or equivalent work experience As an ideal candidate, you may also have Experience selling databases and/or deploying applications with any of the major cloud providers Experience with database programming and data modelling Knowledge of modern technologies - their function and integration requirements - e.g. Spark, cloud storage/streaming, API mgmt, Kafka, serverless. A cloud provider certification A MongoDB Certification What you do at MongoDB You work with our advisory consulting partners on reference architectures, patterns, and AI blueprints for making

FEQ128R1 Location: Singapore As the AI Product Specialist, you will be defining our technical go to market strategy and driving our AI product adoption in the Asia Pacific and Japan region. You will be directly working with customers to guide and influence their data application architecture and decisions. You will be expected to present, demo and pitch Databricks AI/ML product suite and you will be acting as a trusted advisor for senior executives and your in-depth technical knowledge will ensure our customers are successful in leveraging Databricks to solve their business problems. You will be the technical expert to support our field engineering teams internally and you will be expected to help enable the team to understand the key differentiators of our product against our competitors. You will partner with product managers to help to define the product direction based on local knowledge and inform our product strategy with our go-to-market field teams. You will not have any direct reports but will recruit and lead a group of specialists across the field dedicated to scale your impact. You will also be a thought leader externally to the market via speaking at conferences, online webinars, and blog posts. You will meet with customers to communicate the vision and gather feedback. You have expertise in designing and delivering cloud-based Data Visualisation and Analytics Solutions. You will bring your in depth knowledge and experience of building production level data applications leveraging different technologies. You will excel in creating and articulating a compelling value proposition for our customers and enabling Account Executives and Field Engineers to operate effectively using best practices and assets that you own and develop. The impact you will have: Lead the vision and strategy for AI products adoption in Asia Pacific and Japan Develop materials for our GTM team to effectively communicate our value proposition Support our field teams in ke

Senior Data Engineer Insurance underwriting runs on human judgment, manual workflows, and knowledge locked in someone's head. It breaks when that person leaves and doesn't scale when the book doubles. Sixfold is building AI agents that understand risk the way a 20-year veteran underwriter does. Not summaries or flags, but systems that make real decisions on billions in premium for some of the world's largest carriers. AI is the product and the workflow. The Senior Data Engineer makes sure the data powering those decisions is trusted, governed, and built to scale. If you live and breathe Data and AI tools, understand how models work under the hood, and can translate that into business outcomes for a room full of skeptical underwriters, this role was written for you. Who We Are 🏔 Product: Sixfold is the AI brain for underwriting. Our platform handles submissions at scale, assessing risk against appetite, surfacing cited insights, and deploying AI agents to handle triage, research, and referrals so underwriters can focus on building profitable portfolios. 💪 Team: A focused team of insurance operators, AI researchers, and engineers who love hard problems. We're pushing the boundaries of AI adoption across every function, from how we build, to how we sell and to how we support customers. We ship fast and stay close. 📈 Traction: Processing billions in premium for some of the world's largest carriers. We know AI. We know underwriting. We're building what comes next. About the Role In this role, you will: Lead data platform strategy and execution. Partner with the CDAO to shape overall data strategy and translate it into engineering roadmaps with clear owners, timelines, and outcomes. You're not inheriting a finished system — you're making consequential architectural decisions that compound over time. Own the Snowflake data lake end to end. Develop, maintain, and evolve the platform and its associated services — from ingestion to serving. This includes architecting data

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and partners to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned software architects and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our field partner leaders and play a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in Sao Paulo for our hybrid working model. As an ideal candidate, you will have: 8+ years of pre-sales experience with enterprise software and technical aptitude Working knowledge and ability to code with one or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) Experience with scalable and highly available distributed systems 2+ years of software development experience Excellent presentation and communication skills The ability to travel up to 50% A Bachelor’s degree or equivalent work experience Professional proficiency in speaking and writing Portuguese and English Professional proficiency in speaking and writing Spanish is highly preferred As an ideal candidate, you may also have: Experience selling databases and/or deploying applications with any of the major cloud providers Experience with database programming and data modelling Knowledge of modern technologies - their function and integration requirements - e.g. Spark, cloud storage/streaming, API mgmt, Kafka, serverless. A cloud provider certification A MongoDB

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. About the Job Capco’s Data Team helps our clients transform every aspect of their business. We are highly skilled at formulating data strategy, defining business and technology initiatives across the data management lifecycle and aligning multi-year strategic roadmaps with clients’ business goals. As digital technologies advance and regulations tighten, today’s consumers and today’s businesses are becoming more aware of the importance of good quality data. We work to establish holistic ways to effectively manage data through the modern data supply chain and facilitate consumption through analytics, modelling, AI, machine learning, dashboarding, and reporting. What You'll Get to Do Design and implement enterprise Data Governance and Data Management Frameworks for leading financial institutions. Define and operationalise data ownership, stewardship, critical data elements (CDEs), business glossaries, metadata, lineage and data quality controls . Help clients strengthen Data Quality, Metadata Management, Master Data Management and Data Architecture capabilities. Shape governance operating models, policies, standards and controls that work in practice. Support regulatory and risk-driven initiatives involving data sovereignty, residency, privacy and cross-border data . Work with business, te

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and partners to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned software architects and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our field partner leaders and play a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in Atlanta, Austin, Dallas, Miami for our hybrid working model. As an ideal candidate, you will have: 8+ years of pre-sales experience with enterprise software and technical aptitude Working knowledge and ability to code with one or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) Experience with scalable and highly available distributed systems 2+ years of software development experience Excellent presentation and communication skills The ability to travel up to 50% A Bachelor’s degree or equivalent work experience Professional proficiency in speaking and writing Portuguese and English Professional proficiency in speaking and writing Spanish is highly preferred As an ideal candidate, you may also have: Experience selling databases and/or deploying applications with any of the major cloud providers Experience with database programming and data modelling Knowledge of modern technologies - their function and integration requirements - e.g. Spark, cloud storage/streaming, API mgmt, Kafka, serverless. A cloud provider cer

Overview: We are looking for a Senior Data Engineer with deep expertise in Lakehouse architecture, real-time data streaming, cloud data infrastructure, and microservices development on Azure Kubernetes Service (AKS). You will play a central role in designing and delivering next-generation data pipelines, BI solutions, AI/ML platforms, streaming APIs, and scalable microservices that power Guidepoint's research and analytics products. This is a high-impact, hands-on engineering role. You will work closely with data architects, data scientists, analysts, frontend engineers, QA, and DevOps teams to translate complex business requirements into scalable, reliable, and observable data systems. This is a Hybrid role from our Pune office. What You'll Do: Data Engineering & Lakehouse Design, build, and maintain ETL pipelines, data ingestion workflows, and table schemas on Azure Databricks to support BI, analytics, and AI/ML use cases Architect and optimize the Lakehouse using Delta Lake on Databricks, ensuring reliability, performance, and cost efficiency Build and support data pipelines from business applications such as Salesforce, NetSuite, and other enterprise systems Develop and maintain Knowledge Graph models, entity relationship structures, and NLP-based insight pipelines Maintain data governance, data privacy standards, and compliance best practices throughout the data lifecycle Perform root cause analysis on data and processes to identify opportunities for improvement Collaborate with data architects, scientists, and business consumers to populate and optimize the data warehouse for reporting and analytics Microservices & AKS Development Develop and support scalable web APIs and microservices using Python and Azure Platform Services Build new applications, services, and platforms; optimize existing solutions and refactor legacy components using modern, scalable architec

The team One of the most versatile teams of Artefact, our growing Data & Analytics team are present in many aspects of our data consulting projects: data collection, processing, and visualisation; but also giving insights and inputs on the business and digital media aspects. Half of the team also works as the master of data solutions for our clients: dashboarding, business intelligence or web analysis. Mission As a Data analyst, you will be conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data. It is up to you to extract valuable insights from our clients’ marketing-related data sources and to design dashboards for marketing decision-making while taking into account the business needs. Depends on the mission(s), you might also find yourself accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring. Desirable skills If: You have experience or have knowledge in data driven environment Master of Data collection and data visualisation tools, programming in SQL or Python are your jam; Some of these speak to you: Cloud technologies, API connection, ETL, Advertising tool… Or you are interested in learning those skills and use it in your work, contact us! Why should you join us Artefact is the place to be: come and build the future of data and marketing Innovation: We have a passion for creating impacting projects, and believe innovation can come from anyone. Action: We make things rather than telling people how to make them. Collaboration: We believe in bringing talented people together, in winning together, and in learning from each other. Come join us!

About us: Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe. We have 1000 employees across 20 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client. About the role: As a Data Analyst, your role will encompass: Conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data Extracting valuable insights from our clients’ marketing-related data sources. Designing dashboards for marketing decision-making while taking into account the business needs Accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring. Actively contributing to the expertise level and competencies of the Data & Analytics team Closely collaborate with the other divisions (Media & Activation, Creation, Consulting, Data Science and Data Engineer) to provide comprehensive services to your clients Qualifications Having an academic level of education (Bachelor or Master), in a data-driven working environment, you have experience or have knowledge in : A mini

Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth. The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner… What will you be doing? Securing delivery on your projects Communicating your work and achievements among the team Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs Ensuring that your solutions are bringing values to the client problematic Being a good team player, knowing your role and responsibility in the global ambition What are we looking for? A Master’s degree in machine learning, mathematics, computer science, or related fields Hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus) Strong knowledge of data processing, data modeling, algorithms, and data architecture Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact Artefact is the place to be: come and build the future of data and marketing! Innovation : We have a passion for creating impacting projects and believe innovation can come from anyone. Action: We make things rather than telling people how to make them. Collaboration : We believe in bringing talented people together, winning together, and in learning from each other.