Summary:

The Cloud team at Lucid is currently seeking a Senior Site Reliability Engineering role. In this position, the individual will be responsible for providing
reliability to the cloud infrastructure that enabled Lucid Motors' cloud-based services and internal systems.

Responsibilities:

• Provide Reliability Engineering to cloud services deployed and managed in the region of KSA.
• Continuous delivery (CI/CD) using ArgoCD, Jenkins, Maven, and Docker.
• Architect cloud systems in highly available design, ensuring Disaster Recovery (DR) measures are in place.
• Containerization and deployment of microservices and data pipeline on Kubernetes using Helm installation.
• Advocate for a DevOps culture of automation and engineering best practices to enable development teams.
• Auto-scale and monitoring performance for Kubernetes and running applications using Prometheus and Grafana or similar tools.
• Performing SRE activities such as availability and reliability monitoring and reports.
• Deploy, configure and maintain tools such as Kafka, Spark, Trino, Airflow, MQTT, and Microservices.
• Setting up infrastructure as a service using Terraform.
• Work and deploy using the codebase repositories in GitLab, along with participation in the peer review activities.
• Support No-SQL databases such as Elastic Search, Mongo, Cassandra, and other open sources services.
• Setup and monitor various applications and services. Continuously enhance the alerts and automate the recovery process.
• Articipate in the on-call rotation to keep up the service SLA per the business needs.
• Work with Product Owners, engineering managers, and other team members in Agile Scrum and Kanban mode.
• Take appropriate actions by doing impact analysis during the incidents.

Requirements and Skills:

• B.S. or M.S. degree in Computer Science, Engineering, or equivalent field.
• Can speak English fluently to communicate with teams across geographical regions.
• +6 years of experience in SRE or DevOps Engineering.
• +5 years of experience deploying and maintaining systems on Oracle cloud (OCI), and Amazon web services (AWS).
• +3 years of experience in Terraform.
• +3 years of experience in Kubernetes.
• +3 years of experience with tools such as Jenkins, ArgoCD, etc. to build automation and CI/CD pipelines.
• Professional experience in Programing or scripting languages using Python, Go, Bash/Shell, or others.
• Experience in administrative operations knowledge in RDBMS (e.g. PostgreSQL, MySQL), and NoSQL databases (e.g. MongoDB).
• Moderate experience in distributed computing for running data systems using Spark, Hive, Zookeeper, and Kafka.
• Moderate experience in debugging tools and troubleshooting performance bottlenecks at the infrastructure or at the application tier.
• Good to have experience with Config Management using Ansible, Chef, Puppet, or others.

The Customer Success team at Dataiku is focused on accelerating adoption and business outcomes by guiding customers on their fastest path to value with Dataiku. By leveraging deeply consultative skills and strong product knowledge, Senior Customer Success Managers align with customers throughout their journey to understand their desired business outcomes, empower them to maximise the value of their existing use cases, and optimise for growth into new use cases across their business – ultimately working to ensure continuous value and return on their Dataiku investment.  

Senior Customer Success Managers play an integral role in our business, serving as the customer’s main point of contact and the liaison between customers and Dataiku’s internal teams (including Sales, Services, Product Management, Marketing, among others). CSMs ensure cross-functional alignment to deliver value in a streamlined way, aligned with desired customer outcomes and use-case metrics. Their chief focus is on mutual success and growth.

Key Areas of Responsibility (What You’ll Do)

• Work with customers across KSA. 
• Own a portfolio of assigned accounts that may vary in market size, industry, and complexity, with a focus on ensuring successful onboarding onto Dataiku, increasing adoption, ensuring retention, growth, and overall customer satisfaction.
• Align closely with key customer stakeholders to ensure that the vision, implementation plan, and desired business outcomes established pre-sales are supported by clear objectives, action items, owners, and sponsors.
• Have a strong command of Dataiku’s unique value proposition, the business value our key solutions drive, our approach to operationalising Everyday AI, and common use cases and best practices. Be able to effectively leverage the above to guide customers on their journey with Dataiku.
• Keen ability to develop a deep understanding of a customer's business, use cases, and outcomes in order to guide them to achieve these via Dataiku's product and services.
• Continuously advise customers on leveraging Dataiku to implement data science projects from design to production.
• Monitor customers’ achievement of desired outcome and value, consistently and effectively telling the story of both to internal stakeholders and externally to key customer stakeholders.
• Establish regular touchpoints with assigned customers per established best practices, to review progress against strategic business and technical product objectives.
• Leverage Customer Adoption & Health analytics to identify potential risks or opportunities for expansion, with a focus on translating this data into actionable advice.
• Effectively prioritise and orchestrate the resolution of customer requests or issues.
• Develop trusted and collaborative relationships with internal stakeholders and business partners, including Sales, Sales Engineering, Services, Support, Partnerships, Product, and Marketing, among others.
• Champion customers internally in order to mitigate risk, improve customer experience, drive to value outcomes, and unlock growth. 
• Stay current on Dataiku’s products, competitive landscape, & data science trends.
• Embrace and contribute to the Customer Success team methodologies.

Experience (What We’re Looking For)

• Fluency in English and native Arabic are a must-have.
• Minimum seven (7) years of professional experience in customer success, technical account management, or client relationship management roles with a demonstrated history of increasing adoption, retention, and customer satisfaction.
• Experience managing a fast-growing book of accounts, with account sizes ranging from ~$200k to multi-million dollar ARR across the Forbes Global 2000 and beyond.
• Experience with KPIs such as Gross Dollar Retention, Net Dollar Retention, Renewal Rate, Logo Retention Rate, NPS, and CSAT.
• Experience working collaboratively across Professional Services and Partner motions.
• Track record of successfully navigating ambiguity, building consensus, fostering accountability, and working with urgency to deliver customer outcomes.
• Strong written and oral presentation skills, with the ability to effectively engage both business and technical stakeholders (from Analyst to C-level).
• Confidence in serving multiple customer stakeholders and working to build communities of champions/advocates across large organisations.
• Working knowledge of big data technologies such as Hadoop and Spark is preferred.
• Project management and storytelling skills.
• Strong technical, analytic, and problem-solving skills.

You may be a good fit for this role if you:

• Have a never-ending intellectual curiosity, are detail-oriented, and analytical
• Have experience in hyper-growth, product-based technology companies
• Are passionate about technology, the data and analytics space, and enjoy learning new solutions, features/functionalities and translating these into solutions that drive business value for customers
• Understand the importance of being a self-motivated team player 
• Show an appreciation for nuance and a desire to build consensus in a diverse and multicultural environment

#LI-Remote

Why Tamara?

We’re proud to be Saudi’s first FinTech unicorn.
Our mission is to help people own their dreams by building the most customer-centric financial super app in the world. & There is no playbook for that; our Tamarians are writing it. Our teams are made up of innovators, problem-solvers, and learners we thrive on curiosity and collaboration.
If this sounds like you: curious, driven, and ready to build, we’d love to meet you
Apply now and join the next generation of Builders!

About the Program: 

At Tamara, we believe exceptional talent deserves an exceptional launchpad.

Our Flagship Builders Program is designed for ambitious graduates ready to step into real responsibility from day one. This isn’t a rotational “observer” program, it’s a career accelerator built for those who want to build, own, and raise the bar early.
Designed for recent graduates and early-career talent with up to two years of experience, the program places you directly into high-impact roles across Product, Engineering, Design, and beyond. You’ll contribute immediately and grow at an accelerated pace.
From Product to Engineering, Design to Commercial, you’ll tackle meaningful challenges that shape how millions experience fintech across the region. You’ll be trusted with ownership, surrounded by high-caliber peers, and mentored by leaders who expect excellence.

Our January and June cohorts are your opportunity to move fast, think big, and start building what’s next - not someday, but now.

About the role 

We’re looking for a fresh graduate or early-career Data Platform Engineer on a builder track.

This role is for someone who wants to build the foundations behind analytics and AI. You will help develop and run the data platform that makes data available, secure, governed, and fast. That includes pipelines, event streaming ingestion, warehouses and lakes, and the guardrails that keep data trusted.

With the advancement of AI, we care more about strong fundamentals than memorizing tools. Use AI assistants to move faster, but always own correctness, reliability, and security.

Your responsibilities

• Build and maintain the data platform
  • Help develop and maintain platform architecture (data warehouse, data lake, governance, protection).
  • Keep the platform reliable, observable, and ready to scale.
• Build robust pipelines (ELT/ETL + event-driven)
  • Build the infrastructure required for optimal extraction, transformation, and loading using SQL and big data technologies.
  • Augment batch pipelines with event-driven patterns where it makes sense (streaming ingestion, CDC, near-real-time processing, and reliable delivery).
  • Improve pipeline performance, cost, and reliability.
• Make the platform easier every week
  • Identify, design, and implement internal improvements: automate manual processes, optimize data delivery, and redesign components for scalability.
• Enable analytics and AI use cases
  • Build platform primitives and data products that power self-serve analytics and AI-assisted insights (not only dashboards).
  • Support analytics tooling that uses the pipelines to deliver actionable insights into customer acquisition, operational efficiency, and key business metrics.
• Partner with stakeholders
  • Work with stakeholders including Executive, Product, Data, and Design teams to resolve data technical issues and support infrastructure needs.
• Keep data secure across boundaries
  • Help keep data separated and secure across national boundaries, including through multiple data centers and appropriate access controls.

Your expertise (must have)

• Fresh graduate or < 1 year of relevant experience (internships and projects count).
• Solid programming fundamentals in Python, Java, Go, or similar.
• Strong SQL fundamentals.
• Understanding of data concepts: schemas, partitions, data quality, SLAs, and basic security/PII awareness.
• A problem-solving mindset and comfort debugging systems end-to-end.
• Clear communication and a collaborative approach.

Nice to have

• Familiarity with cloud data stack concepts (warehouses, object storage, orchestration, streaming).
• Exposure to event streaming (Kafka concepts like topics, partitions, consumer groups) or CDC.
• Experience with dbt, Airflow, Spark, or similar tools (coursework or projects count).
• Basic Terraform/IaC and CI/CD familiarity.
• Experience using AI assistants responsibly for coding, debugging, and documentation.

What success looks like

• You ship at least one production-ready pipeline or platform improvement that reduces toil or improves reliability.
• You can debug a data issue from source to downstream consumption with clear root cause and fix.
• Teams can onboard to data sources faster, with better documentation and fewer manual steps.
• Platform reliability and data quality improve in measurable ways (latency, failures, freshness, or coverage).

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.
The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What you will be doing?
As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.

Your responsibilities will include:

• Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.
• Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
• Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
• Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
• Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.

What we are looking for?

• 2-5 years: Data Engineer
• Proficiency in Python, SQL, and database management.
• Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka.
• Proven problem-solving skills and a solution-oriented mindset.
• Experience working with business stakeholders either internally or externally
• Excellent communication skills to collaborate effectively within teams and with stakeholders.
• Strong business acumen with an interest in business-facing roles.
• Adaptability and a start-up mentality to thrive in a dynamic environment.
• Minimum of a bachelor's degree in Computer Science, Electronics, and Communication Engineering degrees.

Artefact is the place to be: come and build the future of data and AI

Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone.
Action: We make things rather than telling people how to make them.
Collaboration: We believe in bringing talented people together, winning together, and in learning from each other.

Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.
The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What you will be doing?
As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.

Your responsibilities will include:

• Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.
• Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
• Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
• Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
• Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.

What we are looking for?

• 2-5 years: Data Engineer
• Proficiency in Python, SQL, and database management.
• Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka.
• Proven problem-solving skills and a solution-oriented mindset.
• Experience working with business stakeholders either internally or externally
• Excellent communication skills to collaborate effectively within teams and with stakeholders.
• Strong business acumen with an interest in business-facing roles.
• Adaptability and a start-up mentality to thrive in a dynamic environment.
• Minimum of a bachelor's degree in Computer Science, Electronics, and Communication Engineering degrees.

Artefact is the place to be: come and build the future of data and AI

Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone.
Action: We make things rather than telling people how to make them.
Collaboration: We believe in bringing talented people together, winning together, and in learning from each other.