analytics architect

PROZ TECHNOLOGIES

<p><b>JOB DESCRIPTION</b></p><p>The Data &amp; Analytics Architect defines and governs the end-to-end data architecture for TASMU Platform 2.0, enabling trusted data products, analytics, and reporting across smart-city domains. The role designs cloud-agnostic data platform patterns (lakehouse, streaming, semantic layers), ensures interoperability across vendor solutions, and aligns data delivery with governance, security, and privacy requirements. Working with MCIT, Ooredoo, sector stakeholders, and multiple delivery vendors, the architect defines reference architectures, data modeling standards, and performance/availability targets, and provides assurance through design reviews and implementation checkpoints. The role ensures analytics outputs are reliable, scalable, and operationally supportable.</p><p><b>DUTIES &amp; RESPONSIBILITIES</b></p><ul><li>Define TASMU data platform reference architecture (lakehouse, streaming, batch, semantic/BI, data products).</li><li>Establish patterns for ingestion (APIs, events, IoT), transformation, and orchestration with portability in mind.</li><li>Define data modeling standards: canonical models, domain-driven data products, dimensional modeling, and master data practices.</li><li>Specify analytics architecture: semantic layer, KPI definitions, dashboards, and self-service analytics enablement.</li><li>Define performance, scalability, and availability requirements for data workloads; partitioning, indexing, and cost optimization.</li><li>Align data architecture with governance/privacy/security leads (classification, lineage, retention, CMK, DLP, access controls).</li><li>Define reference designs for operational analytics (observability dashboards), near-real-time reporting, and event-driven analytics.</li><li>Govern integration of vendor-delivered data stores and BI/reporting tooling; ensure consistent data contracts and quality checks.</li><li>Define data quality framework (validations, monitoring, SLAs, issue workflows) and reporting for data health.</li><li>Provide architecture assurance: review vendor designs, validate implementations, and support go-live readiness and DR planning.</li></ul><p><b>SKILLS &amp; ABILITIES</b></p><ul><li>Strong knowledge of modern data architectures (lakehouse, streaming, ELT/ETL, semantic layers, data products).</li><li>Ability to design scalable, secure, and cost-effective analytics solutions in multi-tenant, regulated environments.</li><li>Proficiency in data modeling (dimensional + domain-oriented), data quality, and metadata/lineage practices.</li><li>Experience defining actionable KPIs and ensuring consistent metric definitions across stakeholders.</li><li>Strong documentation and communication skills to align vendors and business owners on data contracts and standards.</li></ul><p><b>POTENTIAL BACKGROUND</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, Cybersecurity, a Master&rsquo;s degree is highly preferred.</li><li>8+ years in data architecture, analytics engineering, or BI platform roles in enterprise settings.</li><li>Experience delivering data platforms on cloud/hybrid environments and integrating multiple vendor solutions.</li><li>Hands-on exposure to streaming/event-driven data (Kafka/Event Hubs) and orchestration (Airflow/ADF-like tools).</li><li>Experience with BI/semantic layers and large-scale dashboarding programs (Power BI/Tableau/Looker).</li><li>Familiarity with governance in regulated environments (classification, retention, auditability, privacy-by-design).</li></ul><p><b>PREFERRED TOOLS / SOFT SKILLS</b></p><p><b>Preferred tools:</b></p><ul><li>Data platforms: Databricks/Spark, lakehouse table formats (Delta/Iceberg), object storage (Blob/S3/GCS)</li><li>Streaming &amp; orchestration: Kafka/Event Hubs, Airflow/ADF-style orchestration, dbt (optional)</li><li>Analytics: Power BI (preferred), semantic models, SQL engines (Synapse/Trino/BigQuery equivalents)</li></ul><p><b>Soft skills:</b></p><ul><li>Ability to align diverse stakeholders on a single &ldquo;source of truth&rdquo; for metrics and data definitions</li><li>Strong analytical thinking and structured problem solving</li><li>Pragmatic prioritization balancing performance, cost, and governance constrain</li><li>Collaborative leadership across vendors and internal teams</li><li>Clear communication of complex data concepts to non-technical audiences</li></ul><p>Job Type: Permanent</p><p>Pay: Up to QAR24,000.00 per month</p>

Data & Analytics Architect

Starlink Qatar

<div>
 <p>
  The
  <strong>
   Data &amp; Analytics Architect
  </strong>
  defines and governs the end-to-end data architecture for enterprise platforms, enabling trusted data products, analytics, and reporting across multiple domains. The role designs cloud-agnostic data platform patterns (lakehouse, streaming, semantic layers), ensures interoperability across vendor solutions, and aligns data delivery with governance, security, and privacy requirements.
 </p>
 <p>
  Working with stakeholders, technical teams, and multiple delivery vendors, the architect defines reference architectures, data modeling standards, and performance/availability targets, and provides assurance through design reviews and implementation checkpoints. The role ensures analytics outputs are reliable, scalable, and operationally supportable.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Duties &amp; Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Define data platform reference architecture (lakehouse, streaming, batch, semantic/BI, data products).
  </li>
  <li>
   Establish patterns for data ingestion (APIs, events, IoT), transformation, and orchestration with portability in mind.
  </li>
  <li>
   Define data modeling standards: canonical models, domain-driven data products, dimensional modeling, and master data practices.
  </li>
  <li>
   Specify analytics architecture: semantic layer, KPI definitions, dashboards, and self-service analytics enablement.
  </li>
  <li>
   Define performance, scalability, and availability requirements for data workloads; implement partitioning, indexing, and cost optimization.
  </li>
  <li>
   Align data architecture with governance, privacy, and security requirements (classification, lineage, retention, encryption, DLP, access controls).
  </li>
  <li>
   Define reference designs for operational analytics, near-real-time reporting, and event-driven analytics.
  </li>
  <li>
   Govern integration of vendor-delivered data stores and BI/reporting tooling; ensure consistent data contracts and quality checks.
  </li>
  <li>
   Define and monitor data quality framework: validations, monitoring, SLAs, issue workflows, and reporting for data health.
  </li>
  <li>
   Provide architecture assurance: review vendor designs, validate implementations, and support go-live readiness and disaster recovery planning.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills &amp; Abilities
  </strong>
 </p>
 <ul>
  <li>
   Strong knowledge of modern data architectures (lakehouse, streaming, ELT/ETL, semantic layers, data products).
  </li>
  <li>
   Ability to design scalable, secure, and cost-effective analytics solutions in multi-tenant, regulated environments.
  </li>
  <li>
   Proficiency in data modeling (dimensional + domain-oriented), data quality, and metadata/lineage practices.
  </li>
  <li>
   Experience defining actionable KPIs and ensuring consistent metric definitions across stakeholders.
  </li>
  <li>
   Strong documentation and communication skills to align vendors and business owners on data contracts and standards.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education &amp; Background
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in
   <strong>
    Computer Science, Information Technology, Cybersecurity
   </strong>
   , or related field; Master&rsquo;s degree highly preferred.
  </li>
  <li>
   8+ years in data architecture, analytics engineering, or BI platform roles in enterprise settings.
  </li>
  <li>
   Experience delivering data platforms in cloud/hybrid environments and integrating multiple vendor solutions.
  </li>
  <li>
   Hands-on exposure to streaming/event-driven data (Kafka/Event Hubs) and orchestration (Airflow/ADF-like tools).
  </li>
  <li>
   Experience with BI/semantic layers and large-scale dashboarding programs (Power BI/Tableau/Looker).
  </li>
  <li>
   Familiarity with governance in regulated environments (classification, retention, auditability, privacy-by-design).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Tools / Soft Skills
  </strong>
 </p>
 <p>
  <strong>
   Preferred Tools
  </strong>
 </p>
 <ul>
  <li>
   Data platforms: Databricks/Spark, lakehouse table formats (Delta/Iceberg), object storage (Blob/S3/GCS)
  </li>
  <li>
   Streaming &amp; orchestration: Kafka/Event Hubs, Airflow/ADF-style orchestration, dbt (optional)
  </li>
  <li>
   Analytics: Power BI (preferred), semantic models, SQL engines (Synapse/Trino/BigQuery equivalents)
  </li>
 </ul>
 <p>
  <strong>
   Soft Skills
  </strong>
 </p>
 <ul>
  <li>
   Ability to align diverse stakeholders on a single &ldquo;source of truth&rdquo; for metrics and data definitions
  </li>
  <li>
   Strong analytical thinking and structured problem solving
  </li>
  <li>
   Pragmatic prioritization balancing performance, cost, and governance constraints
  </li>
  <li>
   Collaborative leadership across vendors and internal teams
  </li>
  <li>
   Clear communication of complex data concepts to non-technical audiences
  </li>
 </ul>
</div>


Taylor Corporation

<div></div><div><div><div>Taylor Corporation is a dynamic, diversified company with big plans for the future ― and your career. We power our employees&rsquo; potential and strive to create opportunity and security for every member of the team. If you&rsquo;re ready for something bigger ― more challenge, more variety, more pathways for professional growth ― we should talk. We&rsquo;re passionate about our work, we believe there is always a better way, and we&rsquo;re looking for people like you.</div></div><div></div><div><div>
Ready to reach your potential? It&rsquo;s time to look at Taylor.</div></div><div></div><div><div>
Your Opportunity: Taylor Corporation is looking for a Data Architect to help design and build a unified reporting and analytics foundation across our Direct and Digital businesses. This role will play a critical part in transforming disparate data sources into a scalable, consistent data model that supports reporting, insights, and decision-making across the division.</div></div><div></div><div><div>
Work Authorization:<br>
To be considered for Taylor opportunities, candidates must be authorized to work in the United States without the need for employer sponsorship.</div></div><div></div><div><div>
Your Responsibilities:</div></div><div><ul><li><div>
Design and architect end-to-end analytics and reporting solutions across multiple businesses with different ERP systems and data models</div></li></ul></div><div><ul><li><div>
Partner with sales, product, finance, and executive stakeholders to understand reporting needs and guide them toward meaningful, actionable insights</div></li></ul></div><div><ul><li><div>
Evaluate incoming reporting requests, clarify requirements, and help stakeholders understand what constitutes effective versus ineffective reporting</div></li></ul></div><div><ul><li><div>
Collaborate closely with centralized Taylor data teams and individual business units to integrate data into a shared Microsoft Fabric environment</div></li></ul></div><div><ul><li><div>
Lead data modeling efforts to transform and structure data into a unified, scalable architecture that supports Power BI reporting</div></li></ul></div><div><ul><li><div>
Serve as a bridge between technical teams and non-technical leaders by clearly explaining data concepts, limitations, and opportunities</div></li></ul></div><div><ul><li><div>
Support the long-term vision of building an enterprise-level reporting structure that can scale across the division</div></li></ul></div><div></div><div><div>
You Must Have:</div></div><div><ul><li><div>
3+ years of hands-on experience working with Microsoft Fabric, including data ingestion, transformation, and data warehousing concepts</div></li></ul></div><div><ul><li><div>
5+ years of experience in data modeling, including designing and maintaining scalable data architectures</div></li></ul></div><div><ul><li><div>
3+ years of experience building and supporting reports and dashboards in Power BI</div></li></ul></div><div><ul><li><div>
Experience working with multiple, disparate data sources and transforming them into a single, consolidated data model</div></li></ul></div><div><ul><li><div>
Strong ability to explain complex data concepts to non-technical stakeholders and business leaders</div></li></ul></div><div><ul><li><div>
Proven experience leading cross-functional initiatives involving IT, data, and business teams</div></li></ul></div><div></div><div><div>
We Would Also Prefer:</div></div><div><ul><li><div>
Experience leveraging AI capabilities within reporting, including AI features in Power BI or related analytics tools</div></li></ul></div><div><ul><li><div>
Prior experience building reporting or analytics foundations in a multi-business or shared-services environment</div></li></ul></div><div><ul><li><div>
Exposure to data lake and modern data warehouse architectures</div></li></ul></div><div></div><div><div><br>
About Taylor Corporation</div></div><div><div>
One of the largest print and communications firms in North America, Taylor&rsquo;s family of companies provides a diverse set of products, services and technologies that address the toughest business challenges. We work diligently each day to create printed and digital marketing communication solutions that help power many of the world&rsquo;s most recognizable brands.</div></div><div></div><div><div><br>
With more than 50 years of category expertise and 10,000 employees spanning dozens of U.S. states and multiple countries, Taylor serves businesses and distributors both large and small. Our employees enjoy a comprehensive benefit package including a choice of several health plans, dental, vision, wellness programs, life and disability coverage, flexible spending accounts, health savings accounts, a 401(k) plan with company match, paid time off (PTO) and 64 hours of annual holiday pay.</div></div><div></div><div><div><i>
The Employer </i><i>retains</i><i> the right to change or assign other duties to this position.</i></div></div><div></div><div><div><i>
Taylor Corporation is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, </i><i>veteran</i><i> or disability status.</i></div></div><div></div><div><br>
Taylor Corporation including all partners and affiliates is an Equal Opportunity Employer/Veterans/Disabled.</div></div>

Data Architect/Analyst

Muller's Solutions

<div><p>M&uuml;ller's Solutions is on the lookout for a talented Data Architect to join our team. In this role, you will be responsible for designing and implementing comprehensive data architectures that align with the organization&rsquo;s strategic goals. Your expertise will contribute to managing data effectively, ensuring high data quality, and supporting data analytics efforts across various departments. You will collaborate with cross-functional teams to drive the development of innovative data solutions that enhance business processes.</p><p></p><p><b><br>
Responsibilities:</b></p><br>
<p></p><ul>
<li>Design, implement, and manage complex data architectures that support business objectives.</li>
<li>Develop and maintain data models, database schemas, and data flow diagrams.</li>
<li>Collaborate with business analysts and stakeholders to gather data requirements and translate them into architectural specifications.</li>
<li>Establish and enforce data governance policies and best practices.</li>
<li>Conduct data quality assessments and implement solutions for data cleansing and accuracy.</li>
<li>Oversee data integration efforts with various systems, ensuring seamless data flow.</li>
<li>Work with IT teams to optimize database performance and storage solutions.</li>
<li>Continuously evaluate and adopt new technologies to enhance data architecture.</li>
<li>Provide mentorship and guidance to junior data professionals.</li>
<li>Stay updated on industry trends and advancements in data architecture and management.</li><br>
</ul><br>
<br>
<b>Requirements</b><p></p><p><b><br>
Requirements:</b></p><br>
<p></p><ul>
<li>Bachelor's degree in Computer Science, Information Technology, or related field.</li>
<li>Proven experience as a Data Architect or a similar role.</li>
<li>Strong expertise in data modeling and database design.</li>
<li>Experience with data integration tools and ETL processes.</li>
<li>Familiarity with data governance frameworks and best practices.</li>
<li>Proficient in SQL, as well as experience with database management systems (e.g., Oracle, SQL Server, MySQL).</li>
<li>Solid understanding of data security principles and practices.</li>
<li>Analytical mindset with excellent problem-solving skills.</li>
<li>Strong communication and interpersonal skills.</li>
<li>Ability to work collaboratively in a team-oriented environment.</li><br>
</ul><br>
<br>
<b>Benefits</b><p><br>
Why Join Us:</p><p></p><p>
Opportunity to work with a talented and passionate team.</p><p>
Competitive salary and benefits package.</p><p>
Exciting projects and innovative work environment.</p></div>

Data Architect

edari

<div>
 <p>
  We are looking to hire a
  <strong>
   Data Architect
  </strong>
  who will be responsible for defining and governing enterprise data architecture, designing scalable data platforms, and enabling AI/ML workloads for our client based in
  <strong>
   Dubai- one of the largest semi-government in the region
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  This position is a contract role with an initial duration of
  <strong>
   6 months
  </strong>
  and is
  <strong>
   renewable based on performance
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a passionate a
  <strong>
   Data Architect
  </strong>
  who can drive enterprise data strategy and ensure scalable, secure, and AI-ready data platforms. You should also have experience in Azure data platform, ETL/ELT frameworks, API-based integrations, and data governance frameworks.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Define, develop, and maintain enterprise data architecture blueprints, including conceptual, logical, and physical models.
  </li>
  <li>
   Architect and implement scalable data platforms such as Data Lakes, Data Warehouses, Lakehouses, MDM systems, and real-time streaming solutions.
  </li>
  <li>
   Establish patterns for data ingestion, transformation, storage, and consumption.
  </li>
  <li>
   Design integration architectures spanning applications, APIs, and external data sources.
  </li>
  <li>
   Assess, evaluate, and recommend modern data technologies to meet evolving business needs.
  </li>
  <li>
   Develop reference architectures for real-time data processing, batch ingestion, API-driven integrations, and AI/ML enablement.
  </li>
  <li>
   Own enterprise data models and canonical definitions, enforcing standards for naming conventions, data quality, metadata management, and MDM practices.
  </li>
  <li>
   Ensure adherence to regulatory frameworks (e.g., GDPR) and organizational security standards.
  </li>
  <li>
   Enable AI/ML initiatives by supporting data readiness, feature stores, model lifecycle management, and data lineage tracking.
  </li>
  <li>
   Collaborate closely with Enterprise Architecture, Data Engineering, BI &amp; Analytics teams, and business domain stakeholders.
  </li>
  <li>
   Present strategic architectural recommendations and insights to senior leadership to guide data-driven decision-making.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Knowledge, Skills &amp; Experience:
  </strong>
 </p>
 <ul>
  <li>
   Minimum
   <strong>
    10 years
   </strong>
   of experience in enterprise data architecture.
  </li>
  <li>
   Strong experience in Azure.
  </li>
  <li>
   Hands on experience in
   <strong>
    Palantir
   </strong>
   is an advantage
  </li>
  <li>
   Expertise in data modeling methodologies (Kimball, Data Vault, Canonical models) is an advantage,
  </li>
  <li>
   Strong experience in ETL/ELT frameworks and API-based integrations.
  </li>
  <li>
   Understanding of data governance frameworks.
  </li>
  <li>
   Experience supporting AI/ML workloads preferred.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Availability:
  </strong>
 </p>
 <ul>
  <li>
   Preference w ill be given to candidates available immediately after accepting the offer.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a candidate who will be able to work in
  <strong>
   United Arab Emirates
  </strong>
  . Please apply with your resume and provide your contact details. We will review your application within 7 working days. Should your profile fit the requirements of the role, a consultant from
  <strong>
   Edari
  </strong>
  will be in touch to discuss the role and potential next steps.
 </p>
</div>


RedCloud Consulting

<div><b>RedCloud Consulting</b> is a global business and technology consulting firm supporting clients across North America, Europe, Asia-Pacific, and the Middle East. For more than two decades, RedCloud has partnered with organizations ranging from high-growth mid-market companies to global enterprises, helping them solve complex business and operational challenges&mdash;leveraging modern data platforms, artificial intelligence, and secure digital foundations to drive smarter decisions and scalable outcomes.<br>
<br>
RedCloud seeks a <b>Data Automation Architect &amp; Analytics Engineer </b>to support immediate client operations.<br>
<br>
<b>Location: </b>Remote &ndash; United States<br>
<br>
<b>Overview:</b><br>
We are seeking a highly hands on data automation architect and analytics engineer to modernize and automate an existing analytics and reporting framework that is currently dependent on manual processes. The primary focus of this role is to automate an existing ETL process end to end, improve reliability and repeatability, and evolve the solution toward a scalable self-service model that can be replicated across teams.<br>
This role requires proactive, independent execution with a continuous delivery mindset. You will be expected to produce tangible deliverables every 1 to 2 weeks, regularly demonstrate progress, and move forward through ambiguity. You will partner closely with senior stakeholders and technical leads, operate as a technical peer, and actively question assumptions to propose more efficient architectures and workflows.<br>
<br>
<b>Responsibilities include but are not limited to:</b>
<ul><li>Automate an existing ETL workflow by understanding the current process, connecting it to new pipelines, performing required transformations, and loading curated data into the presentation layer.
</li><li>Ingest and integrate data from a broad set of internal sources that may include SQL queries, BI reports, and data cubes, and ensure the data is usable after ingestion through appropriate transformations and validation.
</li><li>Design and build the automation infrastructure primarily using a modern analytics platform such as Fabric while continuing to leverage SQL where needed.
</li><li>Deliver post transformation data to reporting and downstream consumers, including a Power BI reporting layer and external blob storage destinations used by other teams and partners.
</li><li>Evaluate existing pipelines, queries, endpoints, and refresh processes to identify inefficiencies and redesign for scale, resilience, and improved refresh cadence.
</li><li>Create parameterized automation patterns that allow business users to control configuration inputs such as filters, with governance considerations such as change tracking and auditability.
</li><li>Explore a lightweight configuration interface approach using tools such as Power Apps to enable non engineering users to adjust parameters without code changes.
</li><li>Operate with a self-serve working style by independently seeking access, documentation, and cross-team help wherever possible, escalating only after other paths have been exhausted.
</li><li>Provide frequent progress visibility to stakeholders through demos, working sessions, and iterative deliverables from day one.
</li><li>Contribute to a long-term reference architecture and repeatable model that can be adopted by other teams.
</li></ul><b>Required Knowledge, Skills, and Abilities:</b>
<ul><li>Strong SQL expertise.
</li><li>Hands on experience with Power BI, including supporting or evolving reporting solutions connected to automated pipelines.
</li><li>Experience with Fabric or the ability to ramp quickly across key capabilities such as lakehouse patterns, pipelines, and dataflows.
</li><li>Understanding of cloud-based data architectures and analytics services, such as data lakes, Synapse, and Kusto or equivalent technologies.
</li><li>Demonstrated experience automating analytics workflows and reducing manual operational overhead through repeatable engineering patterns.
</li><li>Ability to independently perform discovery by reading pipelines, reviewing queries, interpreting endpoints, and synthesizing findings into clear recommendations.
</li><li>Strong analytical mindset with the ability to question existing logic, identify better sources, and surface improvement opportunities.
</li><li>Proven ability to execute proactively with a continuous delivery approach and to produce tangible deliverables every 1 to 2 weeks.
</li><li>Experience implementing self-service configuration patterns for business users, including configurable inputs and change tracking.
</li><li>Experience designing data delivery paths that support both reporting consumers and downstream operational consumers, including file or blob-based distribution.
</li><li>Strong communication skills to collaborate effectively with both technical and non-technical stakeholders.
</li></ul>Compensation range for this position is $148,500 - $181,500/year DOE.<br>
Benefits and bonus information can be found at <b>https://www.redcloudconsulting.com/careers</b><br>
<br>
RedCloud requires employees have the legal ability to work in the country hired during their employment period. During onboarding, proof of eligibility to work in the applicable country will be requested. RedCloud does not provide visa sponsorship.<br>
<br>
<b>About Us:</b><br>
Anchored in a foundation of <i>integrity-based consulting</i>, RedCloud brings together senior-level experts who work side by side with client teams to design and implement durable, high-impact solutions. Our approach emphasizes trust, accountability, and long-term value&mdash;balancing stability, growth, and innovation to help organizations operate securely and confidently in an increasingly complex global environment.<br>
<br>
RedCloud delivers a comprehensive range of services across its core practices: <b>Data &amp; AI, Delivery Excellence, Digital Solutions, Marketing &amp; Sales, Privacy, Security, Data Center and Critical Infrastructure Security, and Strategy &amp; Transformation</b>. As our clients expand globally, so do we&mdash;providing consistent, expert support across regions while remaining agile, collaborative, and deeply invested in client success.<br>
<br>
Recognized for both performance and culture, RedCloud has been named #1 Best Company to Work For in Washington (Mid-Sized Businesses) by <i>Seattle Business Magazine</i>, a &ldquo;Fastest Growing Company&rdquo; multiple times on the <i>Inc. 500/5000</i> list, and recognized by Consulting Magazine as a Leader in Technology Consulting.<br>
<br>
Visit <b>http://www.redcloudconsulting.com/</b> for more info.<br>
#LI-Remote</div>

Data Automation Architect & Analytics Engineer

Pemo

<div>
 <strong>
  <strong>
   Become a part of Pemo's incredible team!
  </strong>
 </strong>
 We're bold, collaborative, and ego-free. We challenge each other positively, encourage courageous decisions, and always aim high. Excited to be part of something big? We're hiring a Data Architect &ndash; Platform &amp; Data Management.
 <br/>
 <br/>
 <strong>
  <strong>
   What you'll be doing
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Own Pemo&rsquo;s core data infrastructure across transactional databases and the data warehouse, ensuring it is scalable, reliable, and ready for rapid product growth.
  </li>
  <li>
   Design and optimize data models in PostgreSQL for our core platform, working closely with backend engineers to support high-throughput, low-latency product features.
  </li>
  <li>
   Define and implement data warehouse models (fact/dimension tables, star/snowflake schemas) in solutions such as BigQuery, ClickHouse, Snowflake, Redshift, etc., optimized for analytics and AI use cases.
  </li>
  <li>
   Design and maintain ingestion flows from operational systems (e.g. PostgreSQL) and external tools (e.g. Segment, Mixpanel, Elastic) into the warehouse, balancing freshness, cost, and complexity.
  </li>
  <li>
   Tune transactional and analytical performance through indexing strategies, partitioning, clustering, materialized views, and schema refactoring where needed.
  </li>
  <li>
   Implement and maintain observability for data infrastructure, including query performance, data freshness, job failures, and schema changes across both transactional and analytical systems.
  </li>
  <li>
   Work closely with data analysts to provide clean, well-modeled datasets that power BI dashboards and self-serve analytics for teams across Pemo.
  </li>
  <li>
   Collaborate with business stakeholders (finance, operations, compliance, leadership) to understand reporting, control, and audit requirements and reflect them in data models and tooling.
  </li>
  <li>
   Partner with AI engineers to design schemas, tables, and views that are optimized for AI agents, retrieval, and downstream ML/LLM workloads.
  </li>
  <li>
   Work with backend engineers to align on domain boundaries, event models, and data contracts so that product features and data infrastructure evolve together.
  </li>
  <li>
   Implement practical data compliance controls such as masking, column-level permissions, row-level filters, and PII separation in coordination with our security and compliance efforts.
  </li>
  <li>
   Act as the go-to person for data infrastructure questions, helping teams diagnose data issues, performance bottlenecks, and modeling gaps.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who we are looking for
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A strong software engineer with 3-5 years of experience working on data-intensive backend systems, databases, or data platforms.
  </li>
  <li>
   Deep experience with relational databases, especially PostgreSQL, including schema design, indexing, query optimization, and understanding of query planners.
  </li>
  <li>
   Proficient in data warehouse solutions such as BigQuery, ClickHouse, Snowflake, Redshift, etc., including partitioning, clustering, and designing analytics-friendly schemas.
  </li>
  <li>
   Solid understanding of data ingestion patterns (CDC, batch loads, streaming), and experience building or maintaining reliable ingestion pipelines from operational databases into a warehouse.
  </li>
  <li>
   Comfortable working with SQL at an advanced level, including complex joins, window functions, aggregations, and performance tuning on large datasets.
  </li>
  <li>
   Experience supporting BI and analytics teams, providing well-modeled data, documenting datasets, and collaborating on metrics definitions and dashboards.
  </li>
  <li>
   Familiar with data observability concepts (freshness, completeness, schema changes, data drift) and monitoring/alerting for data pipelines and warehouses.
  </li>
  <li>
   Able to implement data compliance requirements in practice, such as masking sensitive columns, enforcing column- and row-level access, and separating PII from non-PII datasets using the tools available in the data stack.
  </li>
  <li>
   Familiar with data governance concepts and tooling (data catalogs, lineage, ownership, documentation) and able to apply them pragmatically in a growing startup.
  </li>
  <li>
   Comfortable collaborating with backend, AI, analytics, and business stakeholders, translating their requirements into concrete data models, tables, and flows.
  </li>
  <li>
   Strong communicator who can explain trade-offs in schema design, performance, and data architecture in simple language to non-technical stakeholders.
  </li>
  <li>
   Self-motivated, hands-on, and comfortable taking ownership in a fast-moving, high-responsibility environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus points for:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in fintech or high-growth B2B SaaS.
  </li>
  <li>
   Exposure to regional data requirements (e.g. data residency, localization) and how they influence data architecture.
  </li>
  <li>
   Experience with Infrastructure-as-Code (e.g. Terraform) to manage data infrastructure on AWS or similar clouds.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Why Pemo?
  </strong>
 </strong>
 Work your way with flexible hours, and freedom to take time off when you need it. Join a global team of fintech experts, backed by $18M+ from top investors and named in Forbes ME Top 50. At Pemo, you'll innovate, grow, and help shape the future of spend management in MENA.
 <br/>
 <br/>
 <strong>
  <strong>
   A little more about our company
  </strong>
 </strong>
 At Pemo, we believe that all business owners deserve to be successful. Business owners deserve to spend their time and money doing what they do best &mdash; running their businesses. They deserve to stay in control of their finances, at any point in time, effortlessly! That's why we have built the all-in-one spend management platform that empowers MENA business owners and their teams.
</div>


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