big data platform architect

Cenphix Capital

Big Data Architect<ul><li>Organization: Cenphix Capital</li><li>Work Location: Raysut Zone 2, Salalah, Oman</li><li>Compensation: OMR 2,200 Monthly (Flat Rate)</li></ul>Core Objective: Tasked with constructing and deploying the enterprise data infrastructure at the Raysut Zone 2 facility. This technical role focuses on designing high-throughput data pipelines, managing distributed storage environments, and transforming raw analytics clusters into highly secure, production-grade pipelines.Core Tasks: * Model and deploy scalable data lake architectures and multi-tier warehouse solutions.<ul><li>Build, optimize, and maintain automated batch and real-time streaming ETL pipelines.</li><li>Govern cluster compute resources, ensuring low-latency query performance and efficient storage management.</li><li>Establish strict data security measures, encryption standards, and access control policies across all environments.</li><li>Interface with analytics teams to integrate data pipelines with predictive machine learning models.</li></ul>Technical Background: * Academic degree in Computer Science, Data Engineering, or a parallel technical field.<ul><li>6+ years of active architecture experience handling big data technologies like Hadoop, Spark, or Kafka.</li><li>Deep expertise managing cloud data warehouses and orchestrating distributed databases.</li></ul>الراتب المدفوع: ﷼٢٬٢٠٠٫٠٠٠&nbsp;لكل شهرموقع العمل: بشكل شخصي

Big Data Architect

Apple

Apple&rsquo;s Platform Architecture group develops the next generation of Apple hardware, and the tools to make it possible. Our team builds high-performance verification systems that accelerate the development of Apple silicon. We aim to push the boundaries of pre-silicon validation with simulation solutions that apply and extend principles from hardware emulation. 
 
We are seeking an engineer to develop and deploy agentic AI workflows that automate and optimize pre-silicon validation processes. In this role, you will bridge the gap between applied artificial intelligence and Electronic Design Automation (EDA), building autonomous agents that triage errors, tune simulation parameters, and drastically reduce maintenance burdens for silicon verification teams. 
 
Description 
 
In this role, you will focus on AI based automations, infrastructure development, and continuous experimentation at the intersection of hardware design and verification.&quot;,&quot;responsibilities&quot;:&quot;Design and deploy autonomous AI agents to review design changes, resolve conflicts, and triage elaboration and simulation errors. 
 
Develop AI-driven workflows to flag simulation performance and design concerns, automatically tune design parameters, and explore optimization candidates autonomously. 
 
Apply internal and external EDA tools (e.g., Logic Equivalence Checking, wave dumps, design libraries) to automatically diagnose issues and explore design alternatives. 
 
Build and maintain AI harnesses, scripts, and infrastructure to support continuous research and experimentation. 
 
Conduct data-driven experimentation to optimize prompts and harnesses; measure and improve token efficiency, task completion, and hallucination rates. 
 
Track and evaluate emerging machine learning and Large Language Model (LLM) use cases in the broader industry for application in silicon design workflows. 
 
Occasionally travel (approximately once a year) to collaborate with development groups in the US. 
 
Preferred Qualifications 
 
Master&rsquo;s in Computer Science, Electrical Engineering, or a related AI/Hardware field. 
 
Hands-on experience with Design Verification tasks requiring application of EDA tools, including Logic Equivalence Checking (LEC), linting / static analysis tools, waveform debugging, and simulation / emulation flows. 
 
Familiarity with Verilog, SystemVerilog, or architecting HDL testbenches for functional verification. 
 
Experience developing software tools for co-simulating designs across multiple high-performance platforms. 
 
Comfortable exploring unfamiliar codebases, researching cutting-edge techniques, and rapidly prototyping automated solutions. 
 
Experience applying research methods: literature review, data-driven experimentation, analyzing results. 
 
Strong communication skills, with the ability to collaborate effectively with cross-functional silicon engineering, design verification, and EDA development teams. 
 
Minimum Qualifications 
 
Bachelor&rsquo;s degree in Computer Science, Electrical Engineering, Machine Learning, or a related field (or equivalent practical experience). 
 
Experience in one of the following two areas: Applied AI (experience building, deploying, and maintaining LLM-based applications, agentic workflows, or advanced prompt engineering, combined with an entry-level familiarity with EDA tools or hardware verification concepts), or EDA/Silicon (experience with RTL design, simulation, or hardware emulation platforms, combined with a demonstrated track record of working in research-oriented roles applying software automation or ML to hardware problems). 
 
Experience with scripting, infrastructure development, and software engineering (e.g., Python, C/C++). 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $126,800 and $220,900, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Applied AI Engineer (EDA), Platform Architecture

Workday

<div>Your work days are brighter here.
We&rsquo;re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we&rsquo;re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you&rsquo;ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We&rsquo;re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you&rsquo;ll do meaningful work with Workmates who&rsquo;ve got your back. In return, we&rsquo;ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you&rsquo;ve found a match in Workday, and we hope to be a match for you too.
About the Team
We are a newly formed, forward-looking Cybersecurity Data Engineering &amp; Enablement Team driving the future of our enterprise defense strategy. Our mission is to build a next-generation, centralized data lakehouse that unifies all security telemetry into a single, high-performance ecosystem. Operating across two specialized verticals&mdash;Data Engineering (ingestion, enrichment, and semantic layers) and Data Platform (foundational infrastructure, security architecture, and AI enablement)&mdash;we are designing a scalable, cloud-native foundation from the ground up. By combining cutting-edge data architecture with advanced analytics, we empower our threat hunters, data scientists, and incident responders with the real-time, trusted intelligence needed to protect the enterprise at scale.
About the Role
We are seeking a powerhouse Senior Data Engineer to serve as the Subject Matter Expert (SME) for Data Platform and Lakehouse Architecture . In this role, you will be the foundational architect of our data universe. While other teams focus on moving data through pipelines or building machine learning models, your mission is to build, secure, and optimize the actual bedrock&mdash;the data lake, storage layers, and compute infrastructure&mdash;that powers our entire security operations and beyond.
As the Platform SME, you will define how data is physically stored, partitioned, and accessed. You will establish the frameworks, compliance guardrails, and compute engine standards that allow the Data Logistics and AI/ML teams to build their workloads safely, rapidly, and at massive scale.
Key Responsibilities
<ul><li>Data Lakehouse Architecture: Lead the design, infrastructure implementation, and evolution of our enterprise Data Lake/Lakehouse ecosystem on AWS.
</li><li>Storage &amp; Table Format Optimization: Serve as the ultimate authority on modern open-table formats ( Apache Iceberg or Delta Lake ). Define the standards for partition strategies, schema evolution, file compaction, retention, and storage tiering to maximize performance and slash storage costs.
</li><li>Compute Infrastructure Scaling: Design, configure, and maintain the foundational compute engines and query layers (e.g., AWS EMR clusters, AWS Athena, Redshift ) utilized by downstream data engineers, analysts, and BI tools.
</li><li>Data Mart &amp; Semantic Platform Architecture: Define the foundational infrastructure and access patterns for enterprise Data Marts . Ensure underlying engines are optimized to handle heavy, concurrent query loads from downstream BI and reporting tools.
</li><li>Security, Identity &amp; Access Management (IAM): Architect and enforce global data governance, network isolation, encryption (at rest and in transit), and fine-grained access controls using AWS Lake Formation and AWS IAM.
</li><li>Infrastructure as Code (IaC): Treat all platform infrastructure as software. Provision, deploy, and version-control the entire data platform environment using automated, reproducible code.
</li><li>Cost Governance &amp; Capacity Planning: Proactively monitor, alert, and optimize AWS data spend. Perform capacity planning to ensure the platform scales seamlessly with data volume growth.
</li></ul>About You
Basic Qualifications
<ul><li>Experience: 5+ years of deep experience in data platform engineering, cloud infrastructure engineering, or data architecture, with a proven track record of designing large-scale enterprise data lakes.
</li><li>Table Formats &amp; Storage: Expert-level knowledge of open-table formats ( Apache Iceberg is highly preferred, or Delta Lake) and deep understanding of file format internals (Parquet, ORC, metadata layers).
</li><li>AWS Cloud Native Data Infrastructure: Advanced, production-level expertise across the AWS data stack, specifically AWS EMR (Spark/Presto/Trino tuning), AWS Athena , S3 infrastructure , and AWS Lake Formation .
</li><li>Infrastructure as Code (IaC): Advanced proficiency with Terraform or AWS CDK for provisioning secure, multi-environment data infrastructures.
</li><li>Data Warehousing Foundations: Deep understanding of modern cloud data warehouses (Snowflake, Databricks, or AWS Redshift) and cluster sizing/workload management.
</li></ul>Other Qualifications
<ul><li>Languages: Advanced proficiency in SQL (performance tuning, query optimization) and Python or Bash for infrastructure automation.
</li><li>AWS Certified Solutions Architect &ndash; Professional or AWS Certified Data Engineer.
</li><li>Experience setting up multi-region data lakes, cross-account data sharing, or data mesh architectures.
</li><li>Experience with open-source query engines like Trino or StarRocks. 
</li></ul> 
Workday Pay Transparency Statement
The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate&rsquo;s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday&rsquo;s comprehensive benefits, please click here .
Primary Location: USA.VA.Reston 
 
Primary Location Base Pay Range: $159,600 USD - $239,400 USD 
 
Additional US Location(s) Base Pay Range: $144,400 USD - $258,000 USD 
 
 
Our Approach to Flexible Work 
 
With Flex Work, we&rsquo;re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote &quot;home office&quot; roles also have the opportunity to come together in our offices for important moments that matter.
Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.
Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. 
 
At Workday, we are committed to providing an accessible and inclusive hiring experience where all candidates can fully demonstrate their skills. If you require assistance or an accommodation at any point, please email accommodations@workday.com .
Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
At Workday, we value our candidates&rsquo; privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. 
Please be aware of sites that may ask for you to input your data in connection with a job posting that appears to be from Workday but is not. 
In addition, Workday will never ask candidates to pay a recruiting fee, or pay for consulting or coaching services, in order to apply for a job at Workday.</div>

Senior Cybersecurity Data Engineer - Data Platform & Lakehouse SME

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
 </li>
 <li>
 You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
 </li>
 <li>
 You develop and maintain data integration processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
 </li>
 <li>
 Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
 </li>
 <li>
 You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
 </li>
 <li>
 (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related technical field.
 </li>
 <li>
 +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
 </li>
 <li>
 +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
 </li>
 <li>
 Experience with Big Data technologies such as Hadoop, Hive, and Spark.
 </li>
 <li>
 Ability to translate organizational goals into technical solutions.
 </li>
 <li>
 Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
 </li>
 <li>
 Proficiency in Python, SQL, and NoSQL.
 </li>
 <li>
 Excellent communication and project management skills.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Data Warehouse, Computer Science, Business Intelligence, Project Manager, Quality Assurance, Technology
</div>

Data Engineer (m/f/d)

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Roles &amp; Responsibilities
</div><div>Job Title: AWS Certified Data Engineer
</div><div>Job Description:
</div><div>We are seeking a highly skilled and motivated AWS Certified Engineer to design, build, and optimize scalable data solutions within the Amazon Web Services (AWS) ecosystem. The ideal candidate will have strong expertise in big data processing using PySpark and a deep understanding of data warehousing concepts, including Hive and modern table formats like Iceberg. This role involves developing, deploying, and managing robust, efficient, and secure data pipelines and analytics solutions on AWS, leveraging core networking and compute services.</div><div> 
</div>
<div></div> 
<div>Responsibilities:
</div><ul><li> AWS Solution Design &amp; Implementation: Design, develop, and deploy scalable and cost-effective data solutions on AWS, leveraging services such as S3 (for data lakes), EC2, EMR, Glue, Athena, Lambda, Redshift, and Kinesis.
</li></ul><ul><li> Data Pipeline Development: Build and maintain robust ETL/ELT data pipelines using PySpark for data ingestion, transformation, and loading into various data stores, including those utilizing open table formats like Iceberg.
</li></ul><ul><li> Big Data Processing: Develop and optimize big data processing jobs using PySpark on AWS EMR or AWS Glue, handling large datasets efficiently and integrating with Iceberg table formats.
</li></ul><ul><li> Data Warehousing: Design, implement, and manage data warehousing solutions, including schema design, data modeling, and query optimization, with a focus on Hive and modern data lake table formats like Iceberg for historical data and analytical queries.
</li></ul><ul><li> Cloud Infrastructure &amp; Networking: Implement secure and robust cloud infrastructure components, including VPCs, subnets, routing, and security groups, to ensure proper connectivity and isolation for data solutions.
</li></ul><ul><li> Containerized Workloads: Design, deploy, and manage containerized data processing applications on Amazon Elastic Kubernetes Service (EKS).
</li></ul><ul><li> Performance Tuning &amp; Optimization: Optimize AWS resources and big data applications (Spark, Hive, Iceberg) for performance, cost, and efficiency.
</li></ul><ul><li> Data Governance &amp; Security: Implement best practices for data security, access control, and compliance within AWS, including IAM policies, S3 bucket policies, and encryption.
</li></ul><ul><li> Monitoring &amp; Troubleshooting: Set up monitoring, alerting, and logging for data pipelines and AWS infrastructure; troubleshoot and resolve issues promptly.
</li></ul><ul><li> Automation: Develop and maintain automation scripts using Python and shell scripting for infrastructure provisioning, deployment, and operational tasks.
</li></ul><ul><li> Collaboration: Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver reliable data solutions.</li></ul> 
<div> 
</div><div>Qualifications :</div> 
<div> 
</div><ul><li> AWS Certification: Hold at least one AWS certification (e.g., AWS Certified Solutions Architect &ndash; Associate, AWS Certified Data Analytics &ndash; Specialty, AWS Certified Developer &ndash; Associate).
</li></ul><ul><li> AWS Services Expertise: Hands-on experience with key AWS services for data processing and storage including:
</li></ul><ul><li> Storage: S3 (for data lakes), EC2
</li></ul><ul><li> Data Processing: EMR, Glue, Athena, Lambda
</li></ul><ul><li> Networking: VPC, Subnets, Routing, Security Groups
</li></ul><ul><li> Containerization: EKS</li></ul> 
<div> 
</div><ul><li> Big Data Processing: Strong proficiency in PySpark for developing complex data transformations and analytics.
</li></ul><ul><li> Data Lake Table Formats: Practical experience with Apache Iceberg for managing and querying data lakes.
</li></ul><ul><li> Data Warehousing: In-depth knowledge and practical experience with Apache Hive for data storage, querying, and schema management.
</li></ul><ul><li> Programming Languages:
</li></ul><ul><li> Python: Expert-level proficiency in Python for scripting, data manipulation, and AWS automation (Boto3).
</li></ul><ul><li> Shell Scripting: Proficient in shell scripting for automation and operational tasks.
</li></ul><ul><li> Database &amp; SQL: Strong SQL skills for data querying and manipulation.
</li></ul><ul><li> Data Concepts: Solid understanding of ETL/ELT processes, data modeling, distributed computing, and data governance.
</li></ul><div>Good to Have Skills
</div><ul><li> Containerization Orchestration: Experience with Kubernetes for deploying and managing containerized applications.
</li></ul><ul><li> CI/CD: Experience with CI/CD tools and practices (e.g., AWS CodePipeline, GitHub Actions, GitLab CI) for automating deployment of data solutions.
</li></ul><ul><li> Orchestration: Experience with workflow orchestration tools like Apache Airflow.
</li></ul><ul><li> Version Control: Proficient in using Git for source code management.
</li></ul><ul><li> Other Big Data Technologies: Exposure to other big data technologies like Apache Kafka, Flink, or Presto.
</li></ul><div>Certifications
</div><ul><li> AWS Certified Solutions Architect &ndash; Associate/Professional
</li></ul><ul><li> AWS Certified Data Analytics &ndash; Specialty
</li></ul><ul><li> AWS Certified Developer &ndash; Associate</li></ul> 
<div></div>
<div> 
</div><div></div> 
<div>Salary Range: $125,000 to $140,000 per year
</div></div></div></div><div><div><div>Location</div>
<div>Irving, TX</div>
</div><div><div>Job Function</div>
<div>TECHNOLOGY</div>
</div><div><div>Role</div>
<div>Engineer</div>
</div><div><div>Job Id</div>
<div>416958</div>
</div><div><div>Desired Skills</div>
<div>AWS</div>
</div><div><div>Salary Range</div>
<div>$125,000-$140,000 a year</div>
</div></div>Desired Candidate Profile
<div><div>Qualifications : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

AWS Data Engineer

ROLLER

<div>
 
 About ROLLER
 
 
 
 ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.
 
 
 But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.
 
 
 We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!
 
 
 
 About the Role
 
 
 
 We are seeking a highly technical, hands-on
 
 Senior
 
 
 Data Engineer
 
 to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.
 
 
 In this foundational role, you will build &amp; architect the
 
 modern data stack
 
 , ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with
 
 GTM
 
 
 ,Product, Finance, P&amp;C
 
 to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.
 
 
 Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 
 Scalable Architecture:
 
 Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
 </li>
 <li>
 
 Cloud Ecosystem:
 
 Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
 </li>
 <li>
 
 Transformation Excellence:
 
 Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
 </li>
 <li>
 
 Infrastructure as Code:
 
 Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
 </li>
 <li>
 
 Cloud Data Warehousing:
 
 Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake &amp; BigQuery.
 </li>
 <li>
 
 Team Collaboration:
 
 Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
 </li>
 <li>
 
 Stack Management:
 
 Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
 </li>
 <li>
 
 Pipeline Engineering:
 
 Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
 </li>
 <li>
 
 Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.
 
 
 
 </li>
 </ul>
 
 About You
 
 
 
 You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts
 
 architect and analytical problem-solver
 
 , you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.
 
 
 You are energized by the full lifecycle of data&mdash;moving beyond just writing code to actively leading
 
 project discovery and analysis
 
 alongside cross-functional partners. You take pride in enabling GTM, Product, Finance &amp; P&amp;C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally.
 
 
 <ul>
 <li>
 
 5+ years of experience
 
 in Data &amp; Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build
 </li>
 <li>
 Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
 </li>
 <li>
 Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
 </li>
 <li>
 Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.
 </li>
 <li>
 Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
 </li>
 <li>
 Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
 </li>
 <li>
 Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
 </li>
 <li>
 Ability to design high-performance dashboards that prioritize user experience and fast load times.
 </li>
 <li>
 Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
 </li>
 <li>
 Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.
 </li>
 <li>
 Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
 </li>
 <li>
 
 Familiarity with business-critical systems
 
 like Salesforce, Chargbee, Gainsight, and product analytics tools.
 </li>
 <li>
 
 Strong communicator
 
 with a track record of working across technical and non-technical teams to drive alignment.
 </li>
 <li>
 You have a high appetite for Technology and AI and a natural curiosity for how it can transform your work. You're comfortable using AI tools to automate repetitive 'busy work,' freeing you up to focus on high-impact work.
 
 
 </li>
 </ul>
 We believe AI is a career-defining inflection point. ROLLER is a fast adopter of new technology like AI, and every team member is empowered to own their learning and use the latest tools to supercharge their impact. We're looking for candidates with the proficiency and curiosity to embrace AI and technology &mdash; not just as a technical skill, but as a core competency to help us achieve big goals
 
 
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
 </li>
 <li>
 Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
 </li>
 <li>
 Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.
 
 
 </li>
 </ul>
 Perks!
 
 
 <ul>
 <li>
 You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
 </li>
 <li>
 Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising &amp; cause-related campaigns...you name it. We're willing to make it happen!
 </li>
 <li>
 Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
 </li>
 <li>
 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
 </li>
 <li>
 Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
 </li>
 <li>
 Individual learning &amp; development budget plus genuine career growth opportunities as we continue to expand!
 </li>
 </ul>
</div>

Data Engineer

monday.com

<div>At monday.com, we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we&rsquo;re serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works.
The Customer Success Team is the trusted advisor for building relationships, driving product adoption, and empowering teams to fulfill their goals. By being experts of the monday.com platform, we are able to provide a unique level of consultation and inspiration to our customers. We are an energetic, empathetic and passionate team that enjoys collaboration, taking on new challenges, and &ldquo;failing forward&rdquo; together in this dynamic environment.
Please note this is a hybrid role in our New York City office.
About the role:
As a Technical CSM, you&rsquo;ll go beyond just managing accounts, and become the architect of digital evolution. You will bridge the gap between business goals and technical execution, acting as a strategic consultant for our most ambitious B2B clients. Your core mission is to move customers beyond &quot;tool adoption&quot; and into &quot;business transformation&quot; by consulting on how to power mission critical workflows with monday.com&rsquo;s AI platform.<ul><li>
Champion AI-Led Transformation: Act as the primary advisor on how clients can leverage our AI suite to automate manual workflows, generate insights, and scale their internal operations.</li><li>
AI Consulting: Develop a deep sense of client trust and problem-solving first through technical aptitude and thorough, in-and-out knowledge of monday&rsquo;s platform, reducing the barrier and uncertainty about how AI can exponentially improve the client&rsquo;s ability to achieve their designated outcomes.</li><li>
Strategic Architecture: Empower customers to connect complex business challenges with sophisticated, automated solutions within the platform.</li><li>
Drive Organizational Change: Navigate client organizations to uncover high-impact opportunities for digital transformation and AI adoption.</li><li>
Data-Driven Growth: Leverage behavioral data and product usage insights to develop communication strategies that drive expansion and technical maturity at scale.</li><li>
High-Level Technical Enablement: Lead deep-dive consultations and technical workshops that move beyond &quot;how-to&quot; and focus on &quot;how-to-scale.&quot;</li><li>
Voice of the Future: Represent the technical voice of the customer to our Product and Engineering teams, influencing the roadmap for AI and integration features.</li><li>
Cross-Functional Partnership: Collaborate with Consulting and Product teams to identify upsell and expansion opportunities rooted in technical solutioning.</li></ul>
Requirements:<ul><li>
5+ years of experience in B2B SaaS Customer Success, Technical Account Management, or Implementation Consulting.</li><li>
Technical Literacy: You understand how APIs work, how data flows between systems, and how to troubleshoot integration logic.</li><li>
AI Curiosity: A deep interest in the generative AI landscape and a proven ability to translate AI capabilities into tangible business value.</li><li>
Change Management DNA: Experience guiding large organizations through software transitions or process overhauls (Transformation Management).</li><li>
Executive Presence: Superb communication skills with the ability to establish technical credibility with stakeholders and C-suite executives.</li><li>
Analytical Mindset: You enjoy using data to segment business books and identify the next &quot;big win&quot; for your clients.</li><li>
Adaptability: A positive, high-energy attitude with the ability to thrive in a fast-paced, evolving technical environment.</li><li>
Bonus: Prior experience in strategy consulting or a background in business process mapping.</li></ul>
What monday.com can offer you:<ul><li>
Opportunity to join an innovative, proven company with big ambitions, competitive salary and benefits, bonus potential, and some roles are eligible to take part in the company equity incentive program</li><li>
A team that values transparency and collaboration while having fun while we work</li><li>
Monthly stipends for food, wellness, and commuter/remote work</li><li>
Fully dedicated learning and development team that provides opportunities for employees to grow, gain new skills, master AI tools, and participate in workshops</li><li>
Award winning work environment - named a &quot;Best Place to Work&quot; by Built In as well as &quot;Great Place To Work&quot; certified.</li><li>
We foster diversity, inclusion, and belonging through our Employee Resource Groups in addition to providing access to resources and education to support our team, facilitate conversations, and encourage understanding</li><li>
A global work environment with employees in New York, Tel Aviv, London, Sydney, S&atilde;o Paulo, Tokyo, and more</li></ul>
Visa sponsorship for this role is currently not available.
monday.com is proud to be an equal opportunity employer. We hire talented individuals, regardless of gender, race, ethnicity, ancestry, age, disability, sexual orientation, gender identity or expression, military or veteran status, cultural background, religious beliefs, or any other characteristic protected by federal, state, or local laws.
For New York City-based hires only: compensation is structured as approximately 80% base salary and 20% variable on-target earnings (OTE). The base salary range for this position is: $132,000 &ndash; $168,000, with additional OTE potential of $166,000 &ndash; $210,000. OTE earnings are tied to individual performance pursuant to company policy. This role may also be eligible for equity awards, giving you the opportunity to share in the company&rsquo;s long-term success. All compensation is subject to standard payroll taxes and withholdings.
Compensation Range: $132K - $168K</div>

Senior Customer Success Manager

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