Data Solutions Architect Jobs

Become a part of our caring community The Senior Data & Reporting Professional supports the Michigan Integrated Long-Term Services and Supports (MI LTSS) program through advanced analytics, operational reporting, performance monitoring, regulatory compliance reporting, and strategic data management. You will transform complex clinical, operational, quality, and financial data into actionable insights that support program oversight, state contract compliance, quality improvement initiatives, and executive decision-making. Your work assignments involve moderately complex to complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. You will work independently, exercises considerable latitude in determining objectives and approaches to assignments, and begin to influence departmental strategy. The Senior Data & Reporting Professional partners closely with LTSS Care Management, Utilization Management, Quality, Finance, Compliance, Provider Operations, and Market Leadership to monitor program performance, identify operational opportunities, and support achievement of LTSS program requirements. Develop and maintain operational, clinical, quality, compliance, and executive dashboards supporting the MI LTSS program. Integrate and validate data from multiple systems, including care management platforms, quality monitoring tools, provider networks, claims data, assessment systems, and regulatory reporting sources. Create recurring and ad hoc reports supporting operational performance, regulatory compliance, quality improvement initiatives, and strategic program planning. Monitor LTSS performance indicators including Health Risk Assessments, InterRAI assessments, Nursing Facility Level of Care Determination (NFLOCD) completion, Person-Centered Service Plans, Integrated Care Team (ICT) participation,

What if the work you did every day could impact the lives of people you know? Or all of humanity? At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients. Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible. Senior Data Engineer Role Overview The Databricks Platform Engineer is the technical owner of our Databricks Lakehouse platform — the shared foundation on which enterprise data products, analytics, reporting and AI/ML workloads are built. This is a hands-on individual-contributor role responsible for the reliability, scalability, security, automation, governance and cost efficiency of the Databricks platform. The successful candidate will have production experience operating Databricks as an enterprise platform, not just building on it. They will work AI-natively and set that standard for the team. You will own the Data Platforms domain within a cross-skilled Data & Analytics Platforms engineering team. You will establish platform engineering standards, design and build infrastructure automation, create reusable reference architectures and engineering patterns, and ensure the platform can be operated reliably at enterprise scale. You will also mentor engineers and help build platform engineering capability within the India team. Key Responsibilities Platform ownership Own workspace- and accoun

Job Title Associate Data Scientist Job Description Job Responsibilities: Someone who can design, build, and fine-tune Generative AI models (LLMs, vision-language models, diffusion models) for product use cases Hands on expertise in Large Language Models and prompt engineering RAG architectures, vector databases, embeddings Experiment tracking tools (MLflow, Weights & Biases) Traditional ML/DL techniques Work with structured and unstructured datasets (images, text) Collaborate with engineering teams to integrate AI models into production systems and embedded/edge environments Minimum required Education: Bachelor's / Master's Degree in Information Management, Information Systems, Computer Science, Data Analytics, Data Science or equivalent. Minimum required Experience: Minimum 7 years of experience with Bachelor's OR Minimum 5 years of experience with Master's in areas such as Data Analytics, Data Modeling or equivalent. Preferred Skills: • Data Science • Data Analysis & Interpretation • Data Designing • Python • GenAI frameworks(LangChain, LangGraph) • Vector Databases • Machine Learning Engineering Fundamentals • Statistical Methods • Statistical Programming Software • Research & Analysis • Structured Query Language (SQL) • Regulatory Compliance How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’

About the Role We're looking for a FinOps Data Engineer to help drive cost optimization and cloud financial governance across our AWS infrastructure and GCP footprint. You'll work cross-functionally with Engineering, Finance, and Product to find and ship savings, build the tooling necessary to maximize efficiency of every dollar spent in the cloud, and cultivate a culture of cost awareness across engineering teams. This role owns the data side of that mission: the models, pipelines, and analysis that make cost, usage, and margin numbers trustworthy across the company. This is a hands-on engineering role, not an analyst seat. You'll do the schlep work other teams don't have time for, digging into a bucket's access pattern, writing the dbt model or Python pipeline that ships the fix, building the cost-vs-revenue mart that answers a margin question once instead of every time, and chasing a number until it reconciles. Strong communication matters as much as technical depth, you'll regularly explain a savings case or a data model's implications to an engineering team, a finance stakeholder, and a leadership audience in the same week. What You'll Be Responsible For In this role, you'll: Find and ship savings across AWS and GCP: Analyze billing, usage, and cost trends to identify opportunities, rightsizing, storage lifecycle policies, data transfer, and spot/auto-scaling. Take ideas from identification through to a realized dollar figure, not just a recommendation. Build and maintain the FinOps data pipeline: Design and run the BigQuery/dbt models that turn raw billing and usage data (CUR, Storage Lens) into reconciled, trustworthy mart tables, the foundation everything else in FinOps is built on. Build cost-vs-revenue and customer segmentation models: Model unit economics and margin by product line and customer segment, and extend coverage as new products and segments come online. Apply data science to cost and usage data: Build forecasting models, detect anomalies statis

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here). Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,700 Qontoers serving over 750,000 customers across 8 European countries. We have been profitable since 2023, and we are just getting started. Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit. AI at Qonto: AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it. ------------------------------------------------------------------------------------------------------ At Qonto, we understand that true diversity isn’t just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick — who knows? You may have the missing piece of the puzzle we’ve been searching for all along. By applying, you agree that Qonto processes your personal data to assess your application. Your data is kept for up to 2 years in our candidate pool. Read our Privacy Notice for full details. ------------------------------------------------------------------------------------------------------ On average, our hiring process lasts 20 working days. More information on our candidate journey here ------------------------------------------------------------------------------------------------------ 🔒 Your security matters to us Rec

About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Support Group As the name Support Group implies, this group is responsible for the core part of the customer experience journey that has got Wolt top-notch ratings in app stores. During the years we’ve invested a lot in the in-house built support tooling as we believe that it’s the only way we can ensure the satisfaction of all of our customers and partners in each of the 25 countries that we operate in. We take huge pride in our customer operations’ quality, so on top of building delightful support experiences in our consumer app we also want to proactively identify and solve issues even before our customers and partners even notice something might be wrong. About the Support Analytics Team Our Support Analytics team’s main goal is to deliver an amazing Customer, Merchants & Courier support experience while optimizing our operations by providing actionable insights and quantifying the impact of those actions on the overall business. 💡 You’ll be part of this team working with top Data Science and Analytics Engineering professionals. What you’ll be doing As a Senior Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identi

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: The Cyber Security team at Freddie Mac is searching for a strong data analyst to collaborate on developing and administering data security policies as well as safeguarding information, evaluating existing data security procedures and identifying new areas of risk for Freddie Mac. If this role sounds like a fit for your skill set, please read on, apply and learn why there is #MoreatFreddieMac ! Our Impact: We develop and train the enterprise on relevant Identity and Access Management best practices, develop and support automated IAM processes, and develop and implement ongoing IAM efficiency improvements with limited oversight by managers. The role will work closely with Enterprise partners and security control owners on IAM automation development activities and alignment of IAM processes with InfoSec maturity targets as described in the InfoSec Strategy. Your Impact: Senior Data Analyst who can develop and implement new and updated business process automation for all Identity and Access Management activities. Develop and proposes strategies to reduce security risk in the organization by implementing procedural prevention, detection, and response measures, while still enabling positive business outcomes. Comfortable supporting ad hoc data retrieval and analysis requests using SQL queries and Copilot/Excel . Creating audit-ready reference documentation. This role will allow for and support rapid AI-based extrapolation/replication of these services as future automated IAM microservices. Qualifications: Typically, 5 - 7 years

About the Role We are looking for an experienced Credit Risk Data Scientist who is data-driven, has strong analytical and technical skills, and operates with a high degree of ownership. In this role, you will lead the credit strategy that lets Chime lend to people before they have a relationship with us — starting with Instant Loans for new members (top of funnel) and expanding to future unsecured credit products such as credit cards. You'll develop risk policies and strategies to manage credit risk throughout the member lifecycle, and you'll work as a trusted cross-functional partner with product, growth, data engineering, machine learning, and analytics teams, interacting with business stakeholders across many departments. In this role, you can expect to Own credit strategy for new-to-Chime applicants across the member lifecycle, starting with Instant Loans for prospects (top of funnel) and extending to future unsecured products such as credit cards and/or lines of credit Develop and evolve channel-specific credit policies (pre-approval / prescreen, direct mail, open application, referrals, and affiliates) that support growth while balancing risk, unit economics, and member experience Design and continuously iterate acquisition, loan amount / line assignment, pricing, line management, repayment, and collections strategies Leverage credit bureau (e.g., Experian), alternative, and internal Chime data to underwrite applicants with no prior Chime relationship; build credit models and policies hands-on and in partnership with our DSML team Lead test-and-learn: design and read out champion/challenger tests and controlled ramps, and quantify trade-offs among approvals, losses, direct deposit conversion, and lifetime value Partner with Finance and Strategy to size new channels and forecast approval funnels, vintage losses, and unit economics; set launch criteria, guardrails, and expansion triggers Collaborate with data teams to build data infrastructure and early-read mon

A Career with Point72's Strategy Team The Strategy team is a multidisciplinary group that partners directly with the firm's businesses to identify, design, and lead value-creating strategic business initiatives. We enable the development of new businesses, engage in special projects, and support the firm's strategic planning process. We also source, negotiate, and manage the firm's data assets, building a unified foundation that supports our investment professionals and the firm's growing data and AI ambitions. What you'll do Shape the firm’s data strategy by identifying differentiated data and research sources that can inform investment decision-making. Lead evaluations of new data ecosystems, translating market developments into actionable sourcing opportunities for research and investment teams. Manage strategic relationships with external data and research providers, ensuring service quality, contract alignment, and continued relevance to investment needs. Partner with investment professionals to understand research priorities, assess content requirements, and connect teams with high-value data resources. Coordinate onboarding for new content providers by aligning stakeholders, negotiating business terms, and guiding approvals through completion. Collaborate with Compliance and internal partners to evaluate new providers and support ongoing oversight of existing relationships. Monitor the evolving data market to identify emerging providers, pricing trends, and innovative research capabilities. Field questions and requests from investment teams, resolving issues and helping users navigate available data and research services. Guide team members by sharing market knowledge, reinforcing quality standards, and supporting consistent execution across sourcing workflows. What's required 4-6 years of experience in alternative data, financial services, or a related data strategy role. Bachelor's degree with strong academic performance. Experience negotiating contract ter

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Staff Data Engineer will design, build, and support a near real-time transactional cache platform that enables APIs, digital experiences, and downstream services to consume operational data outside of the legacy UniVerse environment. The role is responsible for the end-to-end data flow from UniVerse through CDC replication into PostgreSQL, transformation and enrichment processes on GCP, and delivery of optimized data models within MongoDB Atlas. The ideal candidate will possess deep expertise in operational data platforms, CDC technologies, data replication, PostgreSQL, MongoDB, and cloud-native data engineering. This individual will serve as a technical leader responsible for architecture, implementation, performance optimization, reliability, and operational support of the transactional cache ecosystem. The platform is intended to reduce transactional workloads on UniVerse while providing scalable, near real-time access for APIs and services. What you will do Lead the design and implementation of a near real-time transactional cache platform supporting APIs, applications, and digital experiences. Design and support Change Data Capture (CDC) pipelines that replicate data from UniVerse into PostgreSQL using vendor-supported replication technologies. Develop and maintain transformation pipelines that convert operational relational dat

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Data Center Operations (DCO) Engineer to join our Cloud Operations team. This is a Remote role in Amsterdam, reporting to the Director of Network Infrastructure in the Network Infrastructure department. In this role, you will be instrumental in deploying, maintaining, and scaling the critical physical server, network, and cabling infrastructure powering our global production data center environments. What you’ll do (Role Expectations) Execute physical rack-and-stack deployments, structured cabling, and infrastructure lifecycle management across production data centers Triage, troubleshoot, and remediate hardware and network faults while repairing or replacing failing components Manage and resolve operational ticket queues, driving scheduled corrective maintenance and break/fix activities Coordinate and partner with engineering teams, system owners, and third-party Remote Hands technicians to

SOBRE A CAPCO A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira! Estamos procurando um(a) profissional Sênior de Migração de Dados / Qualidade de Dados (Senior Data Migration / Data Quality) para apoiar uma iniciativa de consolidação de CRM, envolvendo a migração de dados de múltiplas plataformas de CRM existentes para o Salesforce . A função terá como foco as atividades de migração e qualidade de dados necessárias para transferir os dados das plataformas de CRM atuais para o ambiente Salesforce de destino. Principais Responsabilidades Apoiar a migração de dados de múltiplas plataformas de CRM existentes para o Salesforce. Trabalhar na extração de dados das plataformas de CRM existentes/sistemas de origem. Apoiar as atividades de ETL (Extração, Transformação e Carga) e transformação de dados necessárias para a migração. Realizar atividades de data profiling (análise/perfilamento dos dados) e data mapping (mapeamento de dados). Apoiar a gestão da qualidade dos dados durante todo o processo de migração. Trabalhar nas atividades de migração de dados para o Salesforce. Aplicar conceitos de Master Data Management (MDM) no contexto da migração. Apoiar as atividades relacionadas a dados dentro de um programa de migração de grande escala. Coordenar-se com as equipes responsáveis pelos diferentes sistemas de origem envolvidos na consolidação dos CRMs. Conhecimentos e Experiência Necessários Dados e Migração Data Profiling — análise e avaliação do perfil dos dados Data Mapping — mapeamento de dados Gestão da qualidade de dados Conceitos de Master Data Management (MDM) Experiência com programas de migração de grande escala Extração de dados ETL / transformação de dados Migração

It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible. Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy. The Role As a Data Engineer, you will handle everything from data architecture and modeling to data pipeline tooling and dashboarding. You will enable a range of other engineering and business teams to make impactful business decisions by laying the foundation of our large and unique datasets that span across multiple products. This role will support the product data engineering team. The Product Data Engineering Team at Block builds and maintains the curated data foundation that powers all of Block's product lines — Cash App, Square, Afterpay, and Tidal. We transform raw event streams, transactional systems, and operational data into governed, tested, and reliable analytical assets across domains including banking, lending, commerce, investing, checkout, and AI assistants. We partner with Product, Engineering, Data Science, Machine Learning, and Applied AI teams to deliver the metrics, experimentation frameworks, and ML-ready datasets that enable Block's products to grow, improve, and serve customers at scale. You Will Lead the creation and optimization of data models

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, causal inference, economics, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive toolbelt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. Teams Hiring for this role: Foundation AI: Our AI evaluation team focuses on generating high-quality models and consistently improving our evaluation models. Safety: Managing account relationships and the real-time morphing of linguistic mapping. Economy: Drive creator success and growth by exploring marketplace structure and pricing. Engine: This team is dedicated to enhancing Roblox's overall stability and performance, enabling all its functionalities. Social: Analyze user engagement to identify areas for enhancing the user experience and delivering greate

About Us: YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers—ranging from the world’s top investment funds to Fortune 500 companies—depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture—recognized by Inc. as a Best Workplace for three consecutive years—emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData: YipitData isn’t a place for coasting—it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: Ownership That Matters : You’ll lead high-impact projects with real business outcomes Rapid Growth : We compress years of learning into months Merit Over Titles : Trust and responsibility are earned through execution, not tenure Velocity with Purpose: We move fast, support each other, and aim high—always with purpose and intention If your ambition is matched by your work ethic—and you're hungry for a place where growth, impact, and ownership are the norm—YipitData might be the opportunity you’ve been waiting for. About The Role: YipitData’s Corporate team collaborates directly