analytics architect

Infomineo

<div>About us
Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We&rsquo;ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence:<ul><li>
350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).</li><li>
Our proprietary AI orchestrator.</li><li>
Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.</li></ul>
Ready to kick start your career with us?
About this role
This role will give you the opportunity to design and shape the technical foundation of our Analytics &amp; AI practice, working on high-impact client engagements across industries. As our Analytics &amp; AI Architect, you will sit at the intersection of data engineering, analytics, data science, and AI &mdash; defining the standards, frameworks, and architectures that our teams build upon.
What will you do?
Lead the technical architecture of Data, Analytics and AI solutions for our clients, covering the full lifecycle from design to deployment:
ARCHITECTURE &amp; DESIGN<ul><li>
Design end-to-end data architectures: data lakes, lakehouses, warehouses, and streaming pipelines.</li><li>
Define standards for data modeling, storage, ingestion, and transformation across client engagements.</li><li>
Architect MLOps and AI deployment infrastructure (model registries, CI/CD for ML, monitoring).</li><li>
Lead technical decisions on cloud platforms (Azure, AWS, GCP) and open-source tooling.</li></ul>
TEAM ENABLEMENT<ul><li>
Define best practices and reusable frameworks for data engineers, analysts, and data scientists.</li><li>
Act as a technical mentor and reviewer for cross-functional project teams.</li><li>
Bridge the gap between data analysts, data engineers, and AI/ML engineers on complex projects.</li><li>
Contribute to internal knowledge base, toolkits, and delivery accelerators.</li></ul>
CLIENT ENGAGEMENT<ul><li>
Lead architecture workshops and discovery sessions with client stakeholders.</li><li>
Translate business requirements into scalable, robust technical blueprints.</li><li>
Present architecture decisions to both technical teams and executive audiences.</li><li>
Support pre-sales and proposal efforts with technical scoping and solution design.</li></ul>
OTHER<ul><li>
Provide internal training and knowledge-sharing sessions with the team.</li><li>
Support the Head of Practice on business development and internal capability initiatives.</li></ul>
Who are you?
EDUCATION &amp; PROFESSIONAL EXPERIENCE<ul><li>
Master&rsquo;s degree in Computer Science, Data Engineering, Software Engineering, Applied Mathematics, or a related field.</li><li>
Full proficiency in English + 1 additional language (French, Arabic, Spanish, German...).</li><li>
6+ years of technical experience in data architecture or a closely related field.</li><li>
Proven track record in a consulting or multi-client services environment.</li></ul>
TECHNICAL SKILLS
DATA ARCHITECTURE &amp; PLATFORMS<ul><li>
Proven hands-on experience designing large-scale data platforms: data lake, lakehouse, or warehouse architectures (Databricks, Snowflake, BigQuery, Azure Synapse, Redshift).</li><li>
Strong command of SQL and at least one of Python, Scala, or Spark for data processing and transformation.</li><li>
Experience with Big Data ecosystems: Hadoop, Spark, PySpark, Hive, or equivalent.</li><li>
Familiarity with streaming and real-time architectures (Kafka, Flink, Spark Streaming).</li></ul>
AI &amp; ML INFRASTRUCTURE<ul><li>
Proven hands-on experience with ML lifecycle tooling: MLflow, Kubeflow, SageMaker, Azure ML, or equivalent.</li><li>
Experience architecting MLOps pipelines: model versioning, CI/CD for ML, monitoring and drift detection.</li><li>
Exposure to GenAI and LLM integration patterns (RAG architectures, vector databases, prompt pipelines).</li></ul>
DATA ENGINEERING &amp; DEPLOYMENT<ul><li>
Proven hands-on experience with orchestration and transformation tools: Airflow, dbt, or equivalent.</li><li>
Proven hands-on experience with container technologies: Docker, Kubernetes.</li><li>
Proven hands-on experience with versioning software: Git, GitHub, GitLab.</li><li>
Proven hands-on experience deploying solutions in cloud ecosystems: AWS, Azure, or Google Cloud.</li></ul>
GOVERNANCE &amp; STANDARDS<ul><li>
Knowledge of data governance frameworks: data catalogs, lineage tracking, access control, and data quality management.</li><li>
Exposure to BI and data visualization platforms (Power BI, Tableau, Looker) and semantic layer design.</li></ul>
INTERPERSONAL SKILLS<ul><li>
Ability to step back, analyze complex problems, define architectural options, and drive decisions.</li><li>
Strong ability to work and collaborate with a variety of stakeholders across technical and business functions.</li><li>
Excellent communication skills with the ability to translate complex technical architectures into clear business implications.</li><li>
High autonomy, attention to detail, and ability to manage multiple client engagements simultaneously.</li></ul>
What we offer<ul><li>
A competitive salary.</li><li>
A great working environment.</li><li>
A steep learning curve with interesting and diverse topics to work on.</li><li>
A healthy work-life balance.</li><li>
Health insurance benefits.</li></ul>
Equal opportunity employer
Infomineo is an equal opportunity employer, we prohibit any sort of discrimination (based on color, race, sex, sexual orientation, religion, national origin or any other attributes) in all aspects of employment (recruiting, hiring, wages and salary, promotions, benefits, training and job termination).
If you believe you match our requirements and values, we would be happy to hear from you. Visit our website to know more about us, our services and company culture.</div>

Analytics & AI Architect - Freelance - Cairo

ANS Group Limited

<div>At ANS, the Data Solution Architect is pivotal in shaping and delivering end-to-end data solutions that align with business objectives and technical standards. This role focuses on designing robust, scalable architectures that enable seamless data integration, advanced analytics, and secure data management across diverse platforms. Working closely with engineers and stakeholders, the Data Solution Architect ensures that solutions are not only technically sound but also optimised for performance, reliability, and future growth. While hands-on implementation may occasionally be required, the primary responsibility lies in defining architectural patterns, guiding technical decisions, and translating complex requirements into actionable designs that drive value for both internal teams and customers. 
Roles and responsibilities...<ul><li>
Act as a trusted advisor, guiding customers and internal teams through complex architectural decisions with a focus on business value, scalability, and technical excellence.</li><li>
Design and document end-to-end data solutions clearly and accurately for internal and customer use, ensuring alignment with ANS standards and best practices.</li><li>
Collaborate with Project Managers and stakeholders to align on delivery timelines, report progress, and manage risks, while acting as a key point of contact for customer SMEs and technical teams to clarify requirements and solution design.</li><li>
Contribute to discovery and planning, identifying areas such as governance, security, maturity, adoption, and functional/non-functional requirements, and provide actionable recommendations.</li><li>
Educate and enable customers and internal teams, building knowledge of enterprise data platforms, architectural patterns, and best practices.</li><li>
Engage in continuous learning through certifications (e.g., DP-600, DP-700, AI-900, AI-102) and development days to stay current with emerging technologies and industry trends.</li><li>
Participate in the Data Architecture Guild, sharing knowledge, influencing standards, and helping shape architectural practices across ANS.</li><li>
Ensure information security and compliance are embedded in all designs, adhering to business policies and procedures.</li></ul> 
Skills and experience required...
Must-have<ul><li>
Deep expertise in Big Data architecture and design, with significant experience delivering enterprise-scale solutions.</li><li>
Design and implementation experience with at least three of the following: Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Databricks.</li><li>
Microsoft Fabric knowledge, including architecture design and integration with existing data ecosystems.</li><li>
Data catalogue, modelling, warehousing, and analytics experience across multiple platforms.</li><li>
Proven understanding of security and governance, including cloud infrastructure, compliance frameworks, and data protection principles.</li><li>
Strong presentation and visualisation skills using a variety of customer facing tools to present diagrams and designs.</li><li>
Cloud proficiency with Azure, including Infrastructure as Code (IaC) and services across IaaS, SaaS, and PaaS.</li><li>
Knowledge of Well-Architected Frameworks, security principles, and Agile/Waterfall project lifecycles.</li><li>
Database expertise in SQL and NoSQL technologies.</li></ul>
Desirable<ul><li>
Programming and automation: SQL, Python, Azure DevOps.</li><li>
IoT design architecture for connected solutions.</li><li>
Master Data Management (MDM) design and implementation.</li><li>
Architecture and cloud-related certifications, e.g., TOGAF, Azure Solutions Architect Expert.</li><li>
Experience with emerging technologies such as real-time analytics, AI/ML integration, and data mesh principles.</li></ul>
At ANS, we&rsquo;ve created a place where everyone can be themselves, and we empower our people to get the job done. Openness, ambition, honesty, and passion are what drive us every day. We are bold, courageous, and innovative &ndash; and we do it like no other. We invest in our people. In training, development, health and more &ndash; we give you the benefits and flexibility to maintain a happy work-life balance.
We&rsquo;re proud of the inclusive, fun, dynamic environment we&rsquo;ve created. It&rsquo;s a safe space that works for all. You don&rsquo;t have to be a techie to work in tech. Bring your authentic self and find your dream role here. Find out more at LinkedIn pages 
With fantastic benefits, an inclusive culture, and a cool office space, we&rsquo;re your kind of workplace.<ul><li>
As standard: 25 days&rsquo; holiday, plus you can buy up to 5 more days</li><li>
A little extra: we&rsquo;ll give you your birthday off, and an extra celebration day for whatever you want! Tying the knot? You get 5 days&rsquo; additional holiday in the year you get married. Oh, and 5 volunteer days!</li><li>
Private health insurance</li><li>
Pension contribution match and 4 x life assurance</li><li>
Flexible working and work from anywhere for up to 30 days per year (some exceptions)</li><li>
Maternity: 16 weeks&rsquo; full pay, Paternity: 3 weeks&rsquo; full pay, Adoption: 16 weeks&rsquo; full pay</li><li>
Company social events &ndash; get ready for a jam-packed calendar</li><li>
Electric car scheme</li><li>
12 days of personal growth development time</li></ul>
ANS are an equal opportunities employer. We encourage diversity and anyone applying for a role at our organisation can be assured that their application will be treated fairly, regardless of age, disability, gender reassignment, gender expression, marriage and civil partnership, pregnancy and maternity, race, religion or belief and sex or sexual orientation. We sometimes ask for information relating to individuals for equal opportunities monitoring purposes only.</div>

Data Architect

Cognizant

Solution Architect – Data & AI
 Job Summary
 We are seeking an accomplished Data Solution Architect to join our banking technology team. This role offers a unique opportunity to define and shape data architecture strategy for large-scale, data-driven transformation programmes within a complex financial services environment.
 You will bring deep expertise in designing and delivering cloud-based data platforms, combined with strong knowledge of banking data domains. As a senior leader, you will engage with C-suite stakeholders, drive data modernisation initiatives, and ensure that enterprise data solutions are scalable, secure, and aligned with regulatory standards.
 Key Responsibilities
 Lead end-to-end solution architecture for data-centric programmes, from data ingestion and storage through to consumption, analytics, and reporting
 Define and govern enterprise-wide data architecture standards, patterns, and reference models
 Design scalable and resilient data platforms supporting both batch and real-time processing, including data lakes, data warehouses, and lakehouse architectures
 Architect and deliver cloud-native and hybrid data solutions across Azure, AWS, or GCP
 Apply deep banking domain expertise to architect solutions across core banking, risk, finance, regulatory reporting, and customer data domains
 Engage with senior business and technology stakeholders to shape data strategy and translate it into actionable architecture roadmaps
 Contribute to data governance forums and ensure alignment with regulatory and compliance requirements
 Mentor and guide solution architects and technical leads across delivery teams
 Essential Skills
 Extensive experience within banking or financial services (retail, corporate, investment, or transaction banking)
 Extensive expertise in data architecture, including data modelling, data pipelines, data platforms, governance, and data quality
 Strong experience delivering large-scale, data-centric transformation programmes
 Strong hands-on experience architecting solutions on major cloud platforms such as Azure, AWS, or GCP
 Nice to Have Skills
 Good exposure to AI/ML platforms, with familiarity in Generative AI use cases
 Relevant professional certifications (e.g., AWS/GCP/Azure Data Engineer, TOGAF, Databricks Certified Data Engineer, CDMP)
 Strong collaboration, adaptability, and entrepreneurial mindset
 Familiarity with data mesh architectures and domain-oriented data ownership models
 Qualifications
 Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field
 Professional certifications in cloud, architecture, or data management are advantageous
 What We Offer
 Competitive salary
 Technology-driven organization
 Open team spirit
 International environment
 Contact the Recruiter
 Megha Nagpal
 Email: Megha.Nagpal3@cognizant.com
 Phone: +31 6 2715 5643

Solution Architect - Data & AI

Xebia

<div>
 
 We are seeking a
 
 Databricks Architect
 
 with deep expertise in
 
 Azure Data Platform, Data Modelling, and Medallion (Lakehouse) Architecture
 
 . The ideal candidate will design and implement scalable, high-performance data solutions using
 
 Databricks, Delta Lake, and modern data engineering practices
 
 , enabling enterprise-wide analytics and business intelligence.
 
 
 
 
 
 
 Location:
 
 Abu Dhabi
 
 
 
 Experience:
 
 10&ndash;15+ Years
 
 
 
 Email
 
 : vijay.kajla@xebia.com
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Medallion Architecture &amp; Lakehouse Design
 
 
 <ul>
 <li>
 Design and implement
 
 Medallion Architecture (Bronze, Silver, Gold layers)
 
 on
 
 Azure Databricks
 
 </li>
 <li>
 Define data flow standards across ingestion, cleansing, transformation, and consumption layers
 </li>
 <li>
 Ensure
 
 data quality, lineage, and governance
 
 across all layers
 </li>
 <li>
 Optimize storage and compute using
 
 Delta Lake features (ACID transactions, time travel, schema evolution)
 
 </li>
 </ul>
 
 
 Architecture &amp; Strategy
 
 
 <ul>
 <li>
 Architect
 
 end-to-end Azure data platforms
 
 using:
 </li>
 <li>
 Azure Databricks
 </li>
 <li>
 ADLS Gen2
 </li>
 <li>
 Azure Data Factory
 </li>
 <li>
 Azure Synapse
 </li>
 <li>
 Define
 
 data platform standards, best practices, and reusable frameworks
 
 </li>
 <li>
 Lead
 
 data modernization initiatives
 
 (on-prem to cloud, legacy to lakehouse)
 </li>
 </ul>
 
 
 Data Engineering Leadership
 
 
 <ul>
 <li>
 Build scalable pipelines using
 
 PySpark, Spark SQL, and Databricks workflows
 
 </li>
 <li>
 Implement
 
 batch + real-time ingestion patterns
 
 </li>
 <li>
 Drive
 
 performance tuning and cost optimization
 
 </li>
 <li>
 Mentor teams on
 
 Spark optimization, partitioning, and job orchestration
 
 </li>
 </ul>
 
 
 Data Modelling
 
 
 <ul>
 <li>
 Design
 
 enterprise-grade data models
 
 :
 </li>
 <li>
 Dimensional (Star/Snowflake)
 </li>
 <li>
 Normalized and Data Vault (nice to have)
 </li>
 <li>
 Align data models with
 
 Gold layer consumption use-cases (BI/Reporting)
 
 </li>
 <li>
 Translate business needs into
 
 scalable analytical datasets
 
 </li>
 </ul>
 
 
 Integration &amp; Consumption
 
 
 <ul>
 <li>
 Build ingestion pipelines using:
 </li>
 <li>
 
 ADF, Event Hub, Kafka, APIs
 
 </li>
 <li>
 Enable reporting via:
 </li>
 <li>
 
 Power BI, Tableau, or similar BI tools
 
 </li>
 <li>
 Ensure seamless consumption from
 
 Gold datasets
 
 </li>
 </ul>
 
 
 Stakeholder Engagement
 
 
 <ul>
 <li>
 Act as a
 
 data architecture SME
 
 in client discussions
 </li>
 <li>
 Drive solutioning, architecture reviews, and governance forums
 </li>
 <li>
 Collaborate with business teams for
 
 data-driven decision making
 
 </li>
 </ul>
 
 
 Required Skills
 
 
 
 
 Core
 
 
 <ul>
 <li>
 Strong hands-on experience with
 
 Azure Databricks &amp; Delta Lake
 
 </li>
 <li>
 Proven expertise in
 
 Medallion Architecture implementation
 
 </li>
 <li>
 Advanced
 
 PySpark and Spark SQL
 
 </li>
 <li>
 Experience with
 
 ADF, ADLS Gen2, Synapse
 
 </li>
 </ul>
 
 
 Data Modelling
 
 
 <ul>
 <li>
 Strong experience in:
 </li>
 <li>
 
 Dimensional modelling (must-have)
 
 </li>
 <li>
 Data modelling aligned to
 
 Gold layer analytics
 
 </li>
 <li>
 Understanding of
 
 data quality and governance frameworks
 
 </li>
 </ul>
 
 
 Nice-to-Have
 
 
 <ul>
 <li>
 Real-time processing (
 
 Kafka / Spark Streaming
 
 )
 </li>
 <li>
 Azure Purview or data governance tools
 </li>
 <li>
 ML pipelines on Databricks
 </li>
 <li>
 Domain: Airlines / BFSI / Retail
 </li>
 </ul>
 
 
 Leadership Skills
 
 
 <ul>
 <li>
 Strong architectural thinking
 </li>
 <li>
 Client-facing experience
 </li>
 <li>
 Ability to lead and scale engineering teams
 </li>
 <li>
 Excellent communication and stakeholder management
 </li>
 </ul>
 
 
 
 
 We are an Equal Opportunity Employer committed to fostering a diverse, inclusive, and respectful workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We believe diversity drives innovation and success, and we welcome individuals from all backgrounds to join our team.
 
</div>

Raytheon

<div>Date Posted:
2026-06-10
Country:
United Kingdom
Location:
Warminster, Wiltshire
Position Role Type:
Hybrid
Job Title: Data Architect<div><div><div><div><div><div><div><div><div>
Function: Engineering
Duration: Permanent
Hours: Full Time (37 hours per week)
Location(s): Warminster</div></div></div></div></div></div></div></div></div>
Security Clearance: Must be eligible to obtain or currently hold an SC Clearance
The role: 
This is more than a job &mdash; it&rsquo;s a mission. You will be part of a high-impact, collaborative environment, where we expect everyone to live the values and standards of the British Army. Every person in our team plays a critical role in delivering OMNIA&rsquo;s vision; designing, delivering, and transforming collective training so the British Army is ready to fight and win.
You&rsquo;ll work in a matrix organisation and report operationally through OMNIA Training and functionally to the Data Lead. Ultimately, you&rsquo;ll work for the British Army, championing innovation, and helping shape the future of military collective training.
Key Responsibilities:<ul><li>
Design our scalable, secure and cost-effective cloud hybrid data solution aligned with Omnia enterprise architecture and Army training objectives.</li><li>
Design innovative data models and metadata systems to interpret and enhance business needs, promoting data as a strategic asset.</li><li>
Develop transitional data architectures and road maps in alignment with Omnia digital transformation objectives, enabling the evolution of integrated training solutions.</li><li>
Collaborate with cross-functional teams and partners to ensure data architectural integrity and alignment.</li><li>
Translate complex technical concepts for a non-technical audience, fostering understanding and buy-in from stakeholders.</li><li>
Support horizon scanning to identify and assess emerging technologies and determine their potential impact on leveraging data analytics to improve training delivery.</li><li>
Membership and contribution to the Omnia Architecture Board(s) to review, define, refine and uphold data architectural principles, policies, and standards across Omnia Training.</li><li>
Work with engineering teams to support and guide the implementation of a variety of solutions across multiple domains, in an agile environment.</li><li>
Manage and lead prototyping and research activity as required to realise the best solutions.</li><li>
Provide oversight and advice to engineers undertaking the design of data models and support the management of data dictionaries.</li><li>
Ensure the security and compliance of data environments through the implementation of appropriate architecture principles, security controls and governance frameworks.</li><li>
Author, review and contribute to technical documentation.</li><li>
Produce High- and low-level design artifacts for data storage, processing, and retrieval systems.</li><li>
Stay current with data technologies, making recommendations for use based on business value. Drive the adoption of these technologies.</li><li>
Serve as the Subject Matter Expert (SME) for the Omnia Data Lakehouse, providing strategic guidance, technical oversight, and deep expertise in its architecture, implementation, and optimisation.</li></ul>
Who we are looking for:
You&rsquo;ll have a mission focus, and the enthusiasm and drive to &lsquo;get things done&rsquo;. You&rsquo;ll want to work in collaboration with other defence training organisations, and the British Army. You won&rsquo;t let bureaucracy get in the way of what needs to be done, you&rsquo;ll learn lessons and share these lessons across the team. You&rsquo;ll understand what it means to put the mission first.
The Data Architect will provide strategic and practical leadership across the data architecture landscape of the Army Collective Training Service (ACTS). This role is pivotal in shaping and governing the enterprise data architecture to ensure it aligns with the ACTS vision and supports data as a mission-critical asset. Working closely with the Data Lead, Enterprise Architect and Chief Engineer, you will design, evolve, and maintain a secure, scalable, and interoperable data architecture, leveraging cloud services from AWS, Azure, and OCP where appropriate.
This role requires a systems-thinking mindset, strong stakeholder engagement skills, and the ability to work across engineering teams in a complex and evolving environment.
Essential Skills and Experience:<ul><li>
Proven experience designing and implementing scalable, secure, and interoperable data architectures in complex environments with cloud platforms (AWS, Azure, GCP, OCI) and cloud-native data services including use of services like S3, Lambda, Glue, Data Factory, etc.</li><li>
Experience designing and supporting implementation of large-scale data pipelines, data warehousing and Lakehouse technologies.</li><li>
Strong skills in conceptual, logical, and physical data modelling using tools like ER/Studio, ERwin, or Sparx EA (preferred). Experience reverse engineering models from existing databases.</li><li>
Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop).</li><li>
Experience with API management and gateway tools and services.</li><li>
Experience of RESTful APIs for ingesting and exposing data.</li><li>
Proven track record with data governance, quality, lineage, and security practices.</li><li>
Experience with real-time/streaming data technologies, data Ingestion / ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub).</li><li>
Experience in, or knowledge of, DevSecOps Tooling and Processes.</li><li>
Self-starter with the ability to appropriately prioritise and plan complex work in a rapidly changing environment.</li><li>
Strong critical thinker with problem solving aptitude.</li><li>
A working knowledge of MoD or Government IT Security environments and requirements at various classifications.</li><li>
Holder of current SC clearance, or the ability to gain it.</li></ul>
Desirable Skills and Experience:<ul><li>
Hands-on experience with containerisation and orchestration (Docker, Kubernetes, Red Hat OpenShift).</li><li>
Exposure to infrastructure-as-code tools (Terraform, CloudFormation).</li><li>
Experience with BI/visualisation tools (e.g., Tableau, Power BI, Looker, Elastic Stack).</li><li>
Knowledge of compliance frameworks (GDPR, HIPAA, CCPA) and their impact on data systems.</li><li>
Relevant Data and Architecture certification such as TOGAF, MODAF, AWS/Azure Certified Data Architect or Solutions Architect, DAMA Certified Data Management Professional (CDMP</li></ul>
What we offer:<ul><li>
Competitive salaries.</li><li>
25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr)</li><li>
Contributory Pension Scheme (up to 10.5% company contribution)</li><li>
Company bonus scheme (discretionary).</li><li>
6 times salary &lsquo;Life Assurance&rsquo; with pension.</li><li>
Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others.</li><li>
Enhanced sick pay.</li><li>
Enhanced family friendly policies including enhanced maternity, paternity &amp; shared parental leave</li></ul>
Work Culture:<ul><li>
37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements.</li><li>
Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role.</li><li>
A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities.</li></ul>
For this role the successful hire will need to be a permanent UK resident and be eligible to obtain or currently hold an SC Clearance.
RTX
Raytheon UK is a landed company and part of the wider RTX organisation. Headquartered in Arlington, Virginia, USA, but with over 180,000 employees globally across every continent, RTX provides advanced systems and services for commercial, military and government customers worldwide and comprises three industry-leading businesses &ndash; Collins Aerospace Systems, Pratt &amp; Whitney, and Raytheon.
Supporting over 35,000 jobs across 13 UK sites, RTX is helping to drive prosperity. Each year our work contributes over &pound;2.7bn to the UK economy and offers a wealth of opportunities to 4,000 suppliers across England, Scotland, Wales and Northern Ireland. We&rsquo;re investing in all corners of the country, supporting 29,040 jobs in England, 3,040 in Northern Ireland, 1,900 in Scotland and 1,600 in Wales.
#LI-AS3
RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
Privacy Policy and Terms:</div>

Snowflake

<div><div>At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
This role requires in-person attendance in our Menlo Park, CA office at least 3 days per week.
We are looking for an Analytics Engineer to join our growing Finance Analytics Engineering team. In this role, you will drive value and empower decision-making by developing and maintaining the data infrastructure which fuels reporting and analysis for the Finance organization and has a direct impact on Snowflake&rsquo;s success as a company. As an Analytics Engineer, you will be responsible for the following:<ul><li>
Use SQL, Python, Snowflake, dbt, Airflow, and other systems while working within an agile development model to build and maintain data infrastructure for use in reporting, analysis, and automation</li><li>
Perform data QA and develop automated testing procedures for use with Snowflake data models</li><li>
Translate reporting, analysis, and automation requirements into data model requirements and specifications</li><li>
Work with IT and other technical stakeholders to source data from key business systems and Snowflake databases</li><li>
Architect flexible, performant data models that will support a wide range of use cases while driving the organization towards single sources of truth</li><li>
Provide input into data governance strategies and frameworks including permissions and security models, data lineage systems, and data definitions</li><li>
Meet regularly with Finance BI and technical leads to define requirements, formulate project plans, provide status updates, and perform user testing and QA</li><li>
Build and maintain user friendly documentation for data models and key metrics</li><li>
Identify weaknesses in processes, data, and systems, and drive organizational improvements within the Analytics Engineering team</li></ul>
What You Will Need
Required skills:<ul><li>
3+ years of experience working as an analytics, data, or BI engineer</li><li>
Advanced SQL skills with experience standardizing queries and building data infrastructure involving large-scale relational datasets</li><li>
Experience using Python to parse, structure, and transform data</li><li>
Experience with MPP databases such as Snowflake, Redshift, BigQuery, or other relevant technologies</li><li>
Ability to communicate in an effective and efficient manner while working with a wide range of stakeholders</li><li>
Ability to prioritize and execute tasks in a high-pressure, constantly changing environment</li><li>
Ability to think creatively to solve problems</li><li>
An impulse for introducing structure and simplicity into vague, complex problems</li><li>
An obsession for detail and quality</li><li>
An ability to identify weaknesses in data and process, and a willingness to drive improvement</li><li>
A bias for action</li></ul>
Preferred skills:<ul><li>
Experience with ERP and Financial Planning tools</li><li>
Experience using Python to parse, structure, and transform data</li><li>
Experience working with CI/CD pipelines</li><li>
Experience leading or working within a scrum, sprint, or other agile framework</li><li>
Past experience supporting product or product finance stakeholders</li><li>
Experience working with cost attribution models for SaaS products and tying products out to CSP cost reports</li><li>
Familiarity with cloud cost management and understanding of cost structures in cloud environments (e.g. FOCUS Framework)</li><li>
Demonstrated experience in cloud computing platforms (e.g., AWS, Azure, Google Cloud)</li></ul>
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
The following represents the expected range of compensation for this role:<ul><li>
The estimated base salary range for this role is $132,000 - $173,000.</li><li>
Additionally, this role is eligible to participate in Snowflake&rsquo;s bonus and equity plan.</li></ul>
The successful candidate&rsquo;s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending &amp; health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
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Analytics Engineer

Booking.com

<div>Role Description:

About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We&rsquo;re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world. 
About the team: The Data &amp; AI Governance department enables extending the governance theme of policies, standards, processes and technology for governing data and AI to driving excellence in our approach to leveraging secure, trusted, accessible data for data driven decision making through:<ul><li>
An overarching Data &amp; AI Policy to include associated standards</li><li>
Data &amp; AI Governance including meta and master data management</li><li>
Data &amp; AI Delivery Governance</li><li>
Data &amp; AI Quality including both technical and business quality measures</li></ul>
This enables the maturity of Data and AI capabilities across Booking.com, unlocking innovation and business value through leveraging data and AI. 
Role Description: The Data &amp; AI Governance Architect role will report into the Data &amp; AI Governance Solution Architect in the Data &amp; AI Governance department in the CDO office. You will work with the teams in different business units across Booking.com to co-create the architecture solutions for data &amp; AI governance across data &amp; AI initiatives. You will be responsible for implementing best practice, supporting decision making and ensuring solutions are scalable, resilient, secure, compliant and fit for the future and that the Architecture Design Authority is run smoothly and continually improving its efficiency and alignment with industry standards. It will also be your responsibility to work with the Solution Architect to align the program to the broader technical and enterprise data &amp; AI strategies. Ensuring that the solution is well positioned to connect with an ecosystem of platform capabilities that combine to connect the trip for our customers and partners in a secure, trusted and compliant manner.
Depth of technical knowledge is an important aspect of this role. However, the ability to partner with and advise non-technical stakeholders is of equal importance. In this role you will partner with product and engineering counterparts and the broader Data Architecture community to understand future direction and utilize this in the creation of architecture solutions. 
Key Job Responsibilities and Duties:<ul><li>
Deep understanding and hands-on experience designing, building, improving, and operating high-performance, high-availability, scalable and secure data storage, governance and consumption solutions that scale and adapt to strategy</li><li>
Ability to build an architecture that can respond quickly to new use cases - develop an understanding of our business and stakeholders to underpin this</li><li>
Contribute to data architecture governance and decision processes</li><li>
Proficiency in modeling canonical data asset for critical data entities, and in protecting and promoting their golden source status - quick to recognise when they need to evolve to stay golden and how they can integrate to mature data and governance capabilities</li><li>
Proven experience employing best in class technology to continually optimise the tech stack and tools strategy for the data &amp; AI governance platform(s)</li><li>
Identification of bottlenecks within system design that impede delivery velocity</li><li>
Data driven nature, expect it in design, lead by example</li><li>
Demonstrable experience of cloud technology (AWS or similar) and designing cloud native systems</li><li>
Approachable &amp; effective communicator, explain design and challenges in a way the audience understands</li><li>
Coaching and mentoring, building our architecture excellence systemically through the team</li><li>
Ability to drive impact at scale across a large data product &amp; engineering organisation</li></ul>
Desirable skills:<ul><li>
Experience of building out modern data architectures</li><li>
Experience of Data Governance &amp; engineering Continuous Delivery and Agile delivery methodologies</li><li>
Experience with Conceptual and Logical Data Modeling practices</li><li>
Experience of data vault modeling including Hub, Link, and Satellite structures, how to architect it well and how to build an effective consumption layer on top</li><li>
Experience of integrating siloed businesses or verticals with diverse data and standards</li><li>
Knowledge and experience of enterprise architecture practices and capability-based planning</li><li>
Knowledge and experience of Data &amp; AI Governance and management and how to weave into data architecture effectively</li><li>
API design</li><li>
Handle data following strict privacy and compliance requirements</li><li>
Provide support for internal teams</li></ul>
Qualifications &amp; Skills:<ul><li>
Responsible with the Solution Architect for the integrity and excellence of the CDO Data &amp; AI Governance architecture and its value</li><li>
Partner with Data Architecture community to co-create group wide data architecture practices with localized implementation in BUs</li><li>
Craft and promote data architecture principles for the Data &amp; AI Governance team - take accountability for embedding them in culture and design</li><li>
Continually strive for architectural simplicity. Design and promote canonical assets that serve multiple use cases and drive integration for data and for our business - manage technical debt wisely</li><li>
Collaborate with data modelling community to drive out data modelling standards with the business units</li><li>
Consider and manage cost and security risk in design and maintenance, assume overall responsibility for managing data &amp; AI Governance platform costs within the CDO and Central Tech</li><li>
Collaborate with Compliance and data &amp; AI governance on measuring and managing risks effectively</li><li>
Partner with senior engineers to assess and protect quality of solution design, bringing an enterprise perspective to the table and protecting simplicity of the asset estate</li><li>
Design and lead architecture review forums - formal and informal to nurture design excellence and maintain the integrity of the architecture principles</li><li>
Be flexible, find the balance in working with senior engineers to agree the best solution for urgent tactical needs while keeping the need to return to architecture principles on the roadmap</li><li>
Develop communities of practice to embed and evolve architecture ways of working and improve the quality of architectural decision making</li><li>
Create the culture, processes and principles that embed data quality and Governance by design. Lead and illustrate by example managing standardisation through templated documents and architectural artifacts.</li></ul>
Critical Thinking:<ul><li>
Identify patterns and underlying issues in complex situations, and to find solutions by applying logical and analytical thinking and guide more junior members of the team in this topic.</li><li>
Constructively evaluate and develop ideas, plans and solutions by reviewing them, objectively taking into account external knowledge, initiating 'SMART' improvements and articulating their rationale and guide more junior members of the team in this topic.</li></ul>
Benefits &amp; Perks - Global Impact, Personal Relevance: 
Booking.com&rsquo;s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-Booking.com benefits which include:<ul><li>
Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave</li><li>
Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)</li><li>
Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit</li><li>
Living and working in Amsterdam, one of the most cosmopolitan cities in Europe</li><li>
Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide</li><li>
Working in a fast-paced and performance driven culture</li><li>
Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit</li><li>
Promote and drive impactful and innovative engineering solutions</li><li>
Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation</li><li>
Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com</li></ul>
Diversity, Equity and Inclusion (DEI) at Booking.com: 
Diversity, Equity &amp; Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations. 
Take it from our Chief People Officer, Paulo Pisano: &ldquo;At Booking.com, the diversity of our people doesn&rsquo;t just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It&rsquo;s a place where you can make your mark and have a real impact in travel and tech.&rdquo; 
We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. 
Application Process:<ul><li>
Let&rsquo;s go places together: How we Hire</li><li>
This role does not come with relocation assistance.</li></ul>
Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.</div>

Data & AI Governance Architect

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