• Lead the design and implementation of complex data ingestion pipelines using PySpark, Databricks Intelligence Platform, and AWS services (S3, IAM roles and policies), including Kafka/streaming architectures, schema evolution, and Delta Share, ensuring alignment with enterprise architecture standards. • Serve as a subject matter expert (SME) for data engineering, providing technical guidance and mentorship to engineers across the team and representing data engineering in cross-functional discussions. • Take ownership of platform reliability and performance, proactively identifying optimization opportunities across data ingestion, transformation, and storage layers. • Troubleshoot complex pipeline failures across multi-system dependencies. • Lead cross-functional technical initiatives, collaborating with data scientists, analysts, DevOps engineers, client teams (upstream data providers and downstream consumers), and stakeholders to deliver integrated solutions that meet program objectives. • Contribute to the data platform technical vision and architecture, making strategic decisions on tooling, frameworks, and design patterns that shape the program's long-term data engineering direction. • Define and enforce engineering standards, including code quality, testing practices, CI/CD processes, and infrastructure as code patterns using Terraform. • Evaluation of new technologies and approaches, presenting proof of concepts and technical roadmaps to leadership. • Author and maintain architectural documentation, technical decision records, and platform runbooks that enable team autonomy and operational excellence. • Other relevant duties as assigned and qualified/trained to perform.

Title: Senior Director of Data Engineering and Transformation Location: United States Job Description: Lumen is the trusted network for the AI‑powered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, high‑performance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities. At Lumen, you'll work on infrastructure customers rely on today and build for what's next, where performance, security, and resilience matter. This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you're ready to take ownership, deliver meaningful impact, and help shape the future of AI‑ready connectivity, join us today. The Role We are seeking an experienced, hands-on Senior Director of Data Engineering & Transformation to lead the modernization, execution, and optimization of enterprise data platforms, architectures, and engineering capabilities across Lumen. This leader will drive scalable data products, modern pipelines, integration frameworks, and AI-ready data structures that enable analytics, artificial intelligence, business decision-making, and increased automation. In this role, the Senior Director will shape the company's data landscape by modernizing platforms, improving engineering practices, and accelerating the organization's ability to use data as a strategic asset. The position also focuses on making Lumen data more accessible and consumable for business users, enterprise applications, and AI agents to improve productivity and unlock greater business value, while ensuring data governance requirements such as quality, security, lineage, access controls, metadata, and compliance are embedded into technical solutions and architecture practices. Location This is a remote opportunity open to candidates located anywhere in the U.S. The Main Responsibilities - Transform enterprise data infrastructure by modernizing data platforms, architectures, pipelines, and engineering practices. - Make data more available and consumable for business users, enterprise applications, analytics platforms, and artificial intelligence. - Design scalable enterprise data architectures that support analytics, AI, automation, reporting, and operational use cases. - Lead data pipeline development and optimization, including ETL/ELT, ingestion, transformation, orchestration, monitoring, testing, and production support. - Drive data platform modernization across cloud, lakehouse, integration, storage, analytics, and AI-enablement capabilities. - Deliver reusable data products and solutions, including APIs, semantic layers, governed access patterns, analytical datasets, and AI-ready data structures. - Enable AI-ready data architecture for machine learning, intelligent applications, AI agents, advanced analytics, and automation workflows. - Lead complex transformation initiatives from strategy through execution, including roadmaps, milestones, dependencies, risks, and measurable business outcomes. - Embed governance into technical delivery, including data quality, security, lineage, metadata, access controls, compliance, and responsible data use. - Lead and mentor technical teams across data architecture, data engineering, platform engineering, and technical delivery while fostering excellence, accountability, and innovation. What We Look For in a Candidate - Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field. Advanced degree preferred. - 15+ years of experience in data engineering, data architecture, enterprise data platforms, data integration, data transformation, or related technical disciplines. - Strong experience designing and implementing large-scale data architectures, modern data platforms, enterprise data pipelines, and data engineering solutions. - Deep knowledge of ETL/ELT pipelines, data ingestion, data transformation, data modeling, data warehousing, lakehouse architectures, cloud data platforms, and distributed data systems. - Experience structuring data for analytics, reporting, AI, machine learning, business intelligence, intelligent applications, and automation use cases, including applied AI for data and AI-agent consumption patterns. - Experience structuring data for analytics, reporting, AI, machine learning, and business intelligence use cases. - Strong understanding of data quality, security, metadata, lineage, access management, and governance requirements as part of technical delivery. - Proven ability to lead technical teams and manage complex data engineering, architecture, and transformation programs. - Strong communication skills with the ability to translate technical concepts into executive-level presentations, transformation roadmaps, and business-facing recommendations. - Experience evaluating, selecting, and implementing data technologies, platforms, and engineering frameworks. Preferred Skills - Experience with data analytics, business intelligence, applied AI for data, AI agents, automation enablement, and machine learning enablement platforms. - Experience with data analytics, business intelligence, AI, and machine learning enablement platforms. - Familiarity with cloud-based data platforms and services such as Azure, AWS, Google Cloud, Snowflake, Databricks, Microsoft Fabric, or similar technologies. - Experience with data mesh, lakehouse architecture, domain-oriented data products, metadata management, feature stores, vector databases, or AI-ready data platform design. - Experience with DevOps, DataOps, CI/CD, orchestration, monitoring, testing automation, and production support for data platforms and pipelines. - Certification in cloud architecture, data engineering, data architecture, or data management preferred. Compensation This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. Location Based Pay Ranges $174,876 - $233,168 in these states: AL AR AZ FL GA IA ID IN KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY $183,621 - $244,827 in these states: CO HI MI MN NC NH NV OR RI $192,364 - $256,486 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We''re able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process. Learn more about Lumen''s:BenefitsBonus Structure Requisition #: 342368

Title: Data Integrations Engineer Location: New York United States About Us Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. About the Role As a Data Integration Engineer at Riskified, you will use technical skills, analytical insights, and a business perspective to ensure we have the most accurate and complete data from each client to feed our data science models. You will be responsible for helping new and existing customers ensure they are receiving the best performance possible and leading the charge in processing the data of the largest eCommerce merchants in the world. Riskified’s clients come from many different sizes and industries and use different technical platforms. Each has unique data concerns, and order flows must be assessed uniquely. Our team helps scope, implement, validate, and monitor these data integrations from both a technical and business perspective. What You'll Be Doing - Maintain/manage merchant data configuration layer of Riskified’s platform (automated data tagging, transformation, filtering, etc.) - Combine technical, business, and analytical objectives to come up with tailored solutions for onboarding merchants - Perform due diligence on merchant websites, business models, and data flows - Generate tailored data templates (JSON, CSV) to help guide merchant developers/data teams in building high-quality online (API) and offline (file transfer) integrations. - Write queries and scripts using Python, SQL, Spark, Databricks, or R to test, validate, and detect data issues in API calls within both sandbox and production environments. Additionally, transform and upload large historical data files to Riskified APIs - Ad hoc data wrangling and sanitization - Monitor automated data alerts - prioritize, track, and communicate merchant data issues/irregularities with internal and external stakeholders - Work closely with analysts, research, and data science teams to accommodate changes in industry data - Identify, research, and offer system-wide solutions for common data issues - Work closely with client-facing teams to engage customers regarding their data integrations - Support R&D, Product Management, Data Science, Integrations Engineering, Account Management, and Sales as a subject matter expert of Riskified’s product, technology, and merchants Qualifications - 4+ years of experience in a data-centric industry role (Analytics, Data Engineering, ETL, DBA, Consulting, etc.) - Solid expertise with SQL or NoSQL databases - Experience with data wrangling (Python, R for data processing) - Experience optimizing technical processes - Strong analytical skills and attention to detail - Strong verbal and written communication skills - Advantage: experience in designing, constructing, and maintaining efficient data pipelines using DBT or Python The base salary range for this position is $125,000 - $139,000. This range is applicable to candidates who will perform the job either wholly, or in part, within New York City. Actual salary will be based on qualifications, competencies, and location. If you feel this range is not attractive, we encourage you to let us know through the application process. Base salary is just one part of the pay package at Riskified. All full-time regular employees receive a bonus target and are eligible to receive stock-based awards. Also, our value proposition goes way beyond compensation: our perks and benefits package, culture, community, and learning and development programs are just some of the elements we provide to bring value to our employees. Life at Riskified We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking. We’re looking for bright, driven, and passionate people to grow with us. Some of our NYC Benefits & Perks: - Our NYC team is currently working in a hybrid of remote and in-office for all our team members - Fully-covered medical, dental, and vision insurance from your first day - Equity for all employees, 401(k) + matching, commuter benefits - Catered lunch, fully-stocked kitchen, team events, happy hours, birthday celebrations - Yoga, pilates, soccer league, wellness classes - Wide-ranging opportunities to volunteer and make an impact in local communities - Commitment to your professional development with global onboarding, sales bootcamp, skills-based courses, full access to Udemy, lunch & learns - Awesome Riskified gifts and swag!

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: We are seeking a seasoned Data Engineer to join our team. You will be responsible for architecting and building robust data frameworks that empower Operational Data Store / Enterprise Data Lake Platforms. This role requires a blend of high-level technical expertise in modern data stacks and the ability to collaborate independently with stakeholders to translate business needs into scalable data solutions. What You’ll Do: - Lead the full lifecycle of data engineering projects, from initial requirement gathering with stakeholders to production deployment and monitoring. - Design, develop and maintain complex data transformations, ensuring high data quality and performance using scripting languages like Python, Airflow, DBT and databases such as Snowflake or similar Data Lakes. - Build, scale, and maintain automated workflows using Apache Airflow to manage sophisticated data dependencies. - Maintain high engineering standards through CI/CD implementation and rigorous version control using GitHub. - Implement automated processes for data validation, ensuring high standards of data quality, accuracy, and integrity across all pipelines. - Act as a technical partner to the Analytics, Sales, and Marketing teams, building curated datasets that drive strategic decision-making. What You’ll Need: - 3+ years' experience in design & developing complex automation frameworks, queries, data modeling in SQL, Python, DBT, Apache Airflow. - Deep Experience in scripting languages such as Python and Cloud database experience such as Snowflake, Redshift, etc. to facilitate rapid ingestion and dissemination of key data. - Marketing Data Domain Expertise: Hands-on experience working with Marketing datasets including campaign performance data, lead, funnel stages and opportunity pipelines, and revenue attribution models. - Expertise in architecting scalable DBT projects using advanced modeling techniques, custom macros, complex Jinja-templated logic, and modular project structures to enforce DRY (Don't Repeat Yourself) principles across the enterprise. - Advanced proficiency in the DBT lifecycle including CI/CD processes such as Jenkins, Gitlab CI/CD etc., and source control tools such as GitHub, etc. - Experience identifying and solving issues concerning data management to improve data quality, and clean, prepare and optimize data for ingestion and consumption. You will work with your Data Engineering teammates to review design, code, and test plans to increase knowledge and application of key frameworks and methodologies. - Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs. - Proven experience integrating and managing business data from enterprise applications into Semantic Layers to decouple complex logic from the BI layer to drive analytics and insights. - Bachelor's Degree in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience. Bonus Points: - Marketing Automation Tools Knowledge: Experience with platforms such as Salesforce, Marketo, People.ai, Outreach and CRM systems for data integration and processing. - Understanding of machine learning concepts: Ability to collaborate with data science teams and support machine learning initiatives through data preparation, transformation and Feature store support. #LI-Remote #LI-CS1 Benefits of Working at CrowdStrike: - Market leader in compensation and equity awards - Comprehensive physical and mental wellness programs - Competitive vacation and holidays for recharge - Paid parental and adoption leaves - Professional development opportunities for all employees regardless of level or role - Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections - Vibrant office culture with world class amenities - Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. Find out more about your rights as an applicant. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $85,000 - $120,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.For detailed information about the U.S. benefits package, please click here. Expected Close Date of Job Posting is:06-29-2026