Data Solutions Architect Jobs

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is hiring a Senior Financial Data Analyst to lead the Reporting sub-team within Finance Data & Insights, including people management of a small team of analysts. This sub-team is core to ensuring all key Run the Business (RTB) financial reports are complete, accurate, and operationally reliable on a day-to-day basis. The mandate is two-fold: build repeatable systems, playbooks, and documented workflows that reduce reactive work, and own the primary stakeholder relationships for RTB work across teams. This is a high-visibility role that combines hands-on ownership of critical reporting with team direct people leadership and process-building. Responsibilities: Own all RTB and Compliance reporting (tax, airports, audit requests, etc.), ensuring accuracy, completeness, and operational reliability Directly manage a team of entry-level and mid-level analysts , including hiring, performance reviews, and career development Build and maintain process documentation, checklists, and operational playbooks that make reporting workflows repeatable and resilient Receive and operationalize reports stabilized by Finance Data Products, integrating them into day-to-day RTB reporting operations Reduce fire-drill, ad-hoc response patterns by replacing them with documented, recurring workflows and automation Identify and drive automation opportunities across RTB reporting processes to improve efficiency, reduce manual effort, and further reduce ad-hoc work Own primary stakeholder relationships for RTB work, serving as the go-to point of contact across teams Lead large-scale, cross-functional initiatives with significant autonomy — from problem definition through execution — proactively communicating progress and risks to stakeholders and management Proactively identify risks, gaps, and opportunities for improveme

For more than 30 years, SonicWall has delivered a partner-first unified cybersecurity portfolio that helps SMBs, MSPs, and IT teams consolidate network security, endpoint security, security service edge (SSE), and threat response across hybrid environments. By bringing connected technology, real-time threat intelligence, automation, and expert services together, SonicWall helps organizations simplify security operations, achieve better security outcomes, and lower total cost of ownership. Backed by a global ecosystem of more than 17,000 partners, SonicWall delivers enterprise-grade protection built for SMB and mid-market realities. For more information, visit www.sonicwall.com or follow us on X, LinkedIn , Facebook , and Instagram . Job Title: Distinguished Engineer - Data Architect Role Overview: We are looking for a Distinguished Engineer- Data Architect to design and build the data foundation for our AI-driven security platform. In this role, you will own the architectural blueprint and core implementation of our data strategy, transforming massive streams of high-velocity network traffic logs, customer configurations, and security alerts into high-performance, ML-ready data fabrics. As part of a lean, elite three-person Data & AI team, you will serve as the ultimate technical authority on data scale, streaming architecture, multi-tenant security, and cost-efficient storage systems. Key Responsibilities: Architect the Core Data Platform: Design, implement, and evolve a unified blueprint for streaming and batch data processing capable of ingesting, normalizing, and storing petabyte-scale, high-velocity security telemetry. Enable AI & Advanced Analytics: Partner directly with the Lead AI Engineer to architect the underlying storage, retrieval systems, and feature stores—including optimal vector database structures and data lakehouse layers—required for low-latency AI inference and training. Enforce Zero-Trust Data Governance: Architect s

Within the Data Platform studio, we own two critical pillars: our event delivery platform that collects trillions of events per day from producers to consumers, and another, which handles the pseudonymisation of data so Spotify can use data responsibly and in compliance with privacy regulations. These systems sit at the heart of Spotify's data collection and are used by hundreds of teams across the company. We're looking for an Engineering Manager to lead a team of six experienced engineers distributed across Europe. You'll set the technical direction, ensure the team delivers high-impact work, and - just as importantly - invest deeply in the growth and careers of your engineers. If you're energised by both the technical challenges of large-scale data systems and the human side of building a high-performing team, we'd love to hear from you. What You’ll Do Lead and develop a team of six experienced engineers, with a strong focus on coaching, career development, and creating an environment where people do the best work of their careers. Take accountability for the team's delivery, ensuring clear priorities, healthy execution, and measurable outcomes. Partner with product and stakeholders to shape the roadmap for event delivery and privacy infrastructure. Drive technical strategy and architectural decisions for systems operating at Spotify scale. Build a culture of ownership, psychological safety, and continuous improvement. Collaborate across Data Platform and the wider engineering organisation to align on shared goals and dependencies. Manage on-call health, operational excellence, and reliability for the team's services. Actively participate in hiring, onboarding, and growing the team's capabilities. Who You Are You have experience managing teams of senior/experienced engineers and understand that people leadership is your primary craft, not

About Zoox Zoox is an autonomous ridehailing company building the world's first purpose-built robotaxi — fully electric, bidirectional, with no steering wheel or driver's seat. Backed by Amazon and founded to make transportation safer, cleaner, and more accessible, Zoox designs its vehicles entirely around the rider. We're currently operating in Las Vegas and San Francisco, with Austin and Miami on the horizon, and testing underway across seven U.S. markets. About Our Part-Time Student Worker Program Zoox's part-time student worker program puts you at the center of one of the most ambitious challenges in transportation. You'll contribute to real projects, work alongside engineers and researchers pushing the boundaries of autonomous technology, and gain experience that goes well beyond the classroom. We're looking for students who bring strong academic foundations, curiosity that doesn't stop at coursework, and a drive to be part of something that matters. Role Overview Analyze the coverage and exposure rate of interesting events in highway data; mind highway scenarios and build highway datasets; build dashboard to monitor highway data collection Responsibilities Write Databricks notebooks to mine scenarios, create datasets, and build dashboards Conduct exposure analysis to identity performance issues and data gaps by analyzing large-scale vehicle logs and simulation data Write data analytic reports Required Qualifications Strong proficiency in SQL, PySpark, Python in production environments with standard repo practices Experience working with time-series or sensor data Familiarity with robotics or AV data is a plus Bonus Qualifications ML Robotics Program Requirements Currently enrolled in a B.S. or M.S. program in Computer Science, Data Science, Engineering, or a related quantitative field (or equivalent experience). Available

Banking hasn't changed much in decades. We're changing that. One product at a time. Lunar is a Nordic challenger bank building the future of financial life with AI at the core. Our engineers, designers, and product people work on problems that actually matter. Making money simpler, smarter, and more rewarding for millions of people across the Nordics. Fully licensed and founded in 2015, with offices in Copenhagen, Aarhus and Stockholm. We move fast, we build with purpose, and we're just getting started. As our new Senior Regulatory Data & Reporting Specialist you'll join the Capital & Regulatory Reporting team based in Copenhagen, reporting to Meinhard — bringing your regulatory reporting expertise into a role where you'll translate regulatory frameworks into the system logic, calculation rules, and requirements that our reporting runs on — driving quality review and gap analysis across our reporting perimeter, and helping position CRR as the internal SME that Lunar's product and tech teams build with. The CRR team carries a wide mandate: financial regulatory reporting, capital and liquidity governance, and Treasury controls. In practice, that means safeguarding the bank's financial integrity, ensuring regulatory submissions meet the standard that regulators, investors, and our customers can rely on. We're expanding the team — you'll be one of two specialists sharing ownership of financial regulatory reporting. We don't operate in silos — capital and liquidity governance and Treasury controls sit within the same team, and you'll gain exposure to all areas, whilst focusing on regulatory reporting. Cross-coverage is built into how we operate, regardless of who is in the office. What will you do? Quality review & mapping. Validate calculation logic and data sources against regulatory source text — CRR, CRD, and EBA guidelines — identify gaps, and document findings as validated methodology, SOPs, and concrete improvement requirements. Requirement-setting. Translate regu

About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Role Description Key Responsibilities Drive complex enterprise data transformation initiatives involving data analytics, reference data, data quality, regulatory data, reconciliation, and large-scale data transformation and migration programs. Act as a senior client-facing leader, engaging with global stakeholders across business, operations, technology, data governance, and executive leadership. Provide delivery leadership across interconnected workstreams including business analysis, migration, testing, process transformation, and coexistence/cutover planning. Establish strong program governance, execution discipline, escalation management, and cross-stream coo

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The Role: As a Technical Program Manager within the Enterprise Data Governance team, you will drive strategic execution across our core data governance processes. Your primary focus is to protect member privacy safeguarding personal information through secure handling, processing, and storage to ensure trust, enforce compliance, and mitigate data exposure risks. You will bridge the gap between corporate data governance policy and operational engineering, leading high-visibility technical programs that secure, classify, and institutionalize data controls across key data platforms. As a leader, you will partner with engineering, the CIO organization, Legal, Privacy Compliance, and broader stakeholders to shield enterprise data frameworks while accelerating feature delivery. What you’ll do: Own the end-to-end strategy, roadmap, and execution of complex, multi-platform data privacy and data protection initiatives, driving the Privacy Rights Management (PRM) program as a primary priority. Partner with engineering and platform teams to translate abstract data governance and privacy policies into actionable technical execution. Own the requirements lifecycle by authoring comprehensive PRDs, defining functional data controls, and ensuring engineering teams have the clear technical specifications needed

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: SoFi is seeking a highly motivated Staff Data Scientist to join the Marketing Data Science (MDS) team. The MDS team plays a crucial role in enabling data-driven decisions across SoFi's Marketing organization through robust analytics, modeling, experimentation, and measurement. This exciting new role will focus on supporting the development and execution of top-tier marketing strategies specifically within the Direct Mail (DM) channel. The DM channel is a key driver of revenue and new account acquisition for SoFi, encompassing all lending products—including Personal Loans, Home Loans, Student Loan Refinance, In-school Loans, and Credit Cards—as well as Checking & Savings, Small Medium Business Loans, and future products. This position is ideal for someone passionate about utilizing data for problem-solving in a fast-paced environment. It requires direct interface with marketing managers, channel owners, and third-party partners to collaboratively identify opportunities for improvement and enhanced efficiency. What you’ll do: Lead the end-to-end Direct Mail (DM) campaigns, including pre-screened (PS) and invitation-to-apply (ITA) across products. This encompasses identifying the underwriting, marketing and suppression rules, clearly defining the data source and logic, executing the c

About BlockTech BlockTech is a fast-paced algorithmic trading firm. Specializing in crypto options, we facilitate global cryptocurrency derivatives and spot trading, while expanding into new markets. As we continue to grow rapidly, we are looking for a Senior Software Engineer to take technical ownership of the data infrastructure our trading and technology teams are built on. Every decision at BlockTech starts with data: exchange feeds, our own trade and account events, and the history we query to make sense of both. The Foundation team owns the systems that move, aggregate, and store all of it. We run our own Kafka, NATS, PostgreSQL, ClickHouse, and Iceberg, self-hosted and tuned by us. We work primarily in Rust, with Python and SQL alongside. This is a role for an engineer who has already built and operated data infrastructure at scale, and who wants their technical decisions to set direction rather than follow it. What will you do? You will own the pipelines and stores every other team depends on. When a researcher backtests a strategy, when a trader checks a position, when risk queries yesterday, they are all reading data your systems ingested, routed, and kept correct. As a senior engineer, you will also set the technical standards the rest of the team builds against. You will: Own the ingest path. Collect public and private exchange information and internal trading data with minimal latency impact, and land it in our trading systems in real time. Architect the streaming layer. Design and operate our Kafka and NATS messaging systems for the throughput and delivery guarantees our critical flows depend on. Build the storage layer. Develop real-time aggregation and long-term storage across PostgreSQL, ClickHouse, and Iceberg, and make the structural calls that keep queries fast as volumes grow. Run what you build. Own capacity, retention, schema evolution, and failure behavior for infrastructure we host ourselves, with no managed service to hide behind. Make the

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: We are trusted by over 500 million active users every month across 190+ countries We identify over 15 billion calls daily, helping users avoid spam and scams We are powered by a team of 400+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. As an Engineering Manager, Data, you will lead a multidisciplinary team of ML engineers, data scientists, and data engineers driving some of Truecaller's most strategic initiatives. Your team will be responsible for advancing the trust graph, compounding intelligence, communication experiences, fraud detection, federated learning, calling, search, and the AI Assistant, technologies that sit at the core of Truecaller's strategy. This role combines deep technical leadership with people management: you will define the technical direction across an applied ML stack, foster the growth and well-being of a highly specialized team, and transform a research-driven roadmap into reliable, production-ready systems. What you'll do: Lead, grow, and retain a high-performing team of ML engineers, data scientists, and data engineers, investing deliberately in each person's development and career path. Set technical direction for the core intelligence behind Truecaller’s calling and search intelligence, along with the real-time serving and data platforms that support them. Own team planning, prioritization, and delivery, balancing near-term product commitments against long-term platfo

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: The Cloud & AI Partnerships team is central to Celonis’ growth strategy as we build out our Go-To-Market (GTM) with the major Hyperscalers, AI and Tech companies. Key for that is to effectively enable and activate our partnerships and work together with our field teams to drive joint opportunities, marketing events and sales programs. For that role we seek a Senior Manager, Cloud & Data Partnerships, based in New York join our team and to manage our global Go-To-Market activities with Databricks. So come aboard the next generational SaaS company as a Celonaut! The Role: Define the Joint Business Plan, articulating a clear "better together" value proposition that aligns Celonis’ revenue goals with Partner's consumption targets. Define the GTM strategy to achieve joint goals, including building joint sales motions and programs with Celonis and partner teams. Direct the creation of sales assets and enablement programs. Ensure regional teams have the right battle cards, pitch decks, and use cases to independently identify and drive joint opportunities. Drive Regional Execution: Work with regional Sales Leaders and Partner Managers to execute the strategy locally. Own and orchestrate the relationships with Senior

What you’ll do Design and implement secure cloud pipelines that ingest very large scan datasets (multi-terabyte), reliably and resumably. Build orchestration for GPU-accelerated reconstruction and analysis with strong retry semantics, idempotency, and cost controls. Define end-to-end data lifecycle for medical imaging: raw vs intermediate vs derived artifacts, retention policies, and reproducibility. Implement security + compliance primitives appropriate for HIPAA/PHI: encryption in transit/at rest, key management, least privilege, audit logs, and access reviews. Build operational tooling: monitoring, alerting, runbooks, and incident-driven improvements for a growing device fleet. What we’re looking for Strong experience with cloud batch/queueing/orchestration, storage systems, and data pipeline reliability. Experience shipping production systems that handle large data volumes and failure-prone networks. Practical security mindset (least privilege, secrets, audit logging) and comfort operating in compliance-constrained environments. Useful experience Building reliable data pipelines at scale (queues/orchestration, resumable uploads, GPU batch execution) with strong observability. Security + privacy by default: encryption, least-privilege access, auditing, and practical HIPAA/PHI guardrails. Owning the “boring” backend details that keep a lean team moving: schemas/migrations, cost controls, retries, and runbooks. Understanding compute tradeoffs across hardware options, and specifying appropriate cloud resources.

About Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives. About Role We are looking for an Operations Program Manager - Robotics Data Acquisition to own the day-to-day operating rhythm in our data collection facilities. You will work closely with operators, technicians, program managers, and engineers to keep rigs ready, campaigns moving, issues resolved, and performance improving. This is a hands-on operations role that requires you to be comfortable spending time on the floor, working through ambiguity, and using data to make the operation more reliable and efficient. This role is based in San Francisco, CA and requires in-person presence 5 days a week. In this role you will: Coordinate daily operations readiness across workstations, operators, materials. Track core operating metrics including utilization, cycle time, throughput, downtime, operator productivity, and data quality. Identify bottlenecks through workflow analysis, time studies, and capacity modeling, then drive practical fixes. Execute the rollout of new hardware, sensors, tools, and process changes with Engineering, Operations, Facilities, Supply Chain, and Safety. Identify equipment readiness issues and coordinate with technical support to keep workstations, and test equipment calibrated, configured, maintained, and ready for rollouts and evaluations. Lead root cause analysis for recurring operational issues and follow through on corrective actions. Provide operation input to create and maintain SOPs, work instructions, training materials, and process controls. Identify and flag resource constraints and manage issue escala

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. Stripe builds the most powerful and flexible tools for running an internet business. We handle hundreds of billions of dollars each year and enable millions of users around the world to scale faster and more efficiently by building their businesses on Stripe. To further this important mission, Stripe is building a world class Internal Audit (IA) team. Our IA mission is to make the business better as it grows. We are consumed with the goal of being agile with the business, powered by technology and an accelerator to the speed of controls integration and compliance adoption. About the team Our IA team is responsible for providing objective feedback and insights across the company in relation to the design and effectiveness of Stripe’s business processes, its compliance with laws and regulations and its risk management framework. Unique in our purpose is a cross-functional mandate that invites viewing through a wide lens and collaborating across the business. To enable this engagement, we must build and scale in a rapid-growth, high-volume environment. This is a unique opportunity to join a growing Data Analytics team within audit and work on providing data driven insights across the IA lifecycle. The DA Lead will support Data Analytics and audit fieldwork in execution of the approved Global Audit Plan. They will help develop embedded audit analytics as part of audit planning, fieldwork, and reporting through the execution of data analytics test steps.

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the team: OKX data team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. We are data engineers, data analysts and data scientists. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services. As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services. Responsibilities: Build and maintain the data warehouse for the risk control business domain, and develop the thematic metrics/indicator system to support data needs across all risk control business lines. Design and implement the technical architecture for offline and real-time data application services, and optimi