data analytics architect

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Must Have Technical/Functional Skills
</div><div>Must Have Experience :
</div><ul><li> 10+ years in data / analytics architecture, with strong manufacturing or industrial experience
</li></ul><ul><li> 3+ years designing and deploying AI/ML and/or GenAI solutions in production
</li></ul><ul><li> Hands on experience with plant data, time series analytics, and OT/IT integration
</li></ul><ul><li> Strong consulting skills: structured problem solving, executive communication, workshop facilitation</li></ul><br>
<div><br>
</div><div>Preferred Skills
</div><ul><li> Cloud platforms (Azure / AWS / GCP), Databricks or Snowflake
</li></ul><ul><li> Streaming (Kafka / Event Hubs), ML platforms (MLflow, Azure ML, SageMaker)
</li></ul><ul><li> GenAI platforms (Azure OpenAI, Bedrock, Vertex AI) and vector databases
</li></ul><ul><li> Exposure to digital thread, smart factory, or digital twin initiatives</li></ul><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div><div>Background : We are looking for an AI &amp; Data Architect with strong manufacturing domain expertise and consulting mindset to help industrial enterprises design, deploy, and scale data and AI platforms across plants and enterprise systems. This role bridges operations, engineering, and IT, translating manufacturing priorities into secure, governed, and production grade AI solutions that deliver measurable business outcomes.</div><br>
<div><br>
</div><div>Travel: 25&ndash;50% (plants, client workshops, exec reviews)</div><br>
<div><br>
</div><div>What You Will Do
</div><ul><li> Lead plant to enterprise discovery workshops with Operations, Engineering, Quality, Supply Chain, and IT leaders
</li></ul><ul><li> Develop Solutions to respond to RFQ from the manufacturing customers
</li></ul><ul><li> Translate manufacturing challenges into AI use cases (predictive maintenance, quality, yield, throughput, inventory, service)
</li></ul><ul><li> Architect OT + IT data platforms integrating historians, MES, ERP, and cloud platforms
</li></ul><ul><li> Design and guide delivery of AI/ML and GenAI solutions (time series ML, computer vision, RAG based copilots)
</li></ul><ul><li> Define MLOps / LLMOps frameworks for industrial environments
</li></ul><ul><li> Create executive ready architectures, roadmaps, and value stories
</li></ul><ul><li> Act as a trusted advisor during plant visits, architecture reviews, and steering committees
</li></ul><div>________________________________________
</div><div>Core Architecture Focus
</div><ul><li> OT/IT Integration: PLC/SCADA/DCS, historians (PI/Aveva), MES, ERP (SAP), PLM, QMS
</li></ul><ul><li> Data Platforms: Lakehouse, streaming/event-driven, time series architectures
</li></ul><ul><li> AI / GenAI: Predictive analytics, anomaly detection, computer vision, maintenance &amp; operations copilots
</li></ul><ul><li> Security &amp; Governance: Industrial cybersecurity awareness, data governance, responsible AI, human in the loop
</li></ul><div>________________________________________
</div><div>Key Deliverables
</div><ul><li> Plant to enterprise AI &amp; Data target architecture
</li></ul><ul><li> Manufacturing AI roadmap (pilot scale across plants)
</li></ul><ul><li> Digital thread architecture linking design, production, quality, and service
</li></ul><div>Industrial MLOps / LLMOps framework
</div><div>Executive level value realization dashboards
</div><div>________________________________________</div><br>
<div><br>
</div><div>Base Salary Range : $110,000 to $140,000 Per Annum</div><br>
<div><br>
</div><div>TCS Employee Benefits Summary:
</div><div>Discretionary Annual Incentive.
</div><div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
</div><div>Family Support: Maternal &amp; Parental Leaves.
</div><div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
</div><div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
</div><div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
</div><div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.</div><br>
<div><br>
</div><div>#LI-SV2
</div><div>#LI-KUMARAN
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Cleveland, OH</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Technical Architect</div>
</div><div><div><b>Job Id</b></div>
<div>406659</div>
</div><div><div><b>Desired Skills</b></div>
<div>Data architect</div>
</div><div><div><b>Salary Range</b></div>
<div>$110,000-$140,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

AI Data Architect

CodeNinja

<div>About CodeNinja<p><b>
CodeNinja</b> is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
</p><b>Role Purpose</b><p>
Lead the ERP program&rsquo;s data strategy by ensuring data readiness, conceptual data modelling, reporting data sourcing, and structured data migration planning, enabling a reliable, unified data foundation across all modules.</p><b>
Key Responsibilities</b><ul><li><b>Conduct comprehensive assessment of legacy data sources:</b></li></ul><p>
o Inventory, Maintenance (MRO), Procurement, HR, Technical Docs</p><ul><li><b>Identify:</b></li></ul><p>
o Data quality issues (duplicates, missing, inconsistencies)</p><p>
o Data ownership and governance gaps</p><p>
o Redundant/siloed datasets</p><ul><li>Define data cleansing and standardization approach</li><li>Produce <b>Data Readiness Assessment Report</b></li><li>Define <b>end-to-end Data Migration Strategy,</b> including:</li></ul><p>
o Migration approach (phased, module-wise, or big-bang)</p><p>
o Data prioritization (master data vs transactional vs historical)</p><ul><li>Develop <b>Data Mapping Specifications:</b></li></ul><p>
o Legacy  ERP field-level mappings</p><p>
o Transformation rules and standardization logic</p><p>
o Handling of missing/invalid data</p><ul><li>Define <b>Data Cleansing &amp; Preparation Plan:</b></li></ul><p>
o Deduplication rules</p><p>
o Data enrichment where required</p><p>
o Validation checkpoints before migration</p><ul><li>Design <b>Migration Execution Plan:</b></li></ul><p>
o Migration cycles (mock runs, dry runs, final cutover)</p><p>
o Rollback strategy in case of failure</p><p>
o Downtime and cutover planning</p><ul><li>Define <b>Data Validation &amp; Reconciliation Framework:</b></li></ul><p>
o Pre-migration vs post-migration validation rules</p><p>
o Reconciliation reports (counts, totals, relationships)</p><p>
o Sign-off criteria for each module</p><ul><li><b>Produce key deliverables:</b></li></ul><p>
o Data Migration Plan</p><p>
o Data Mapping Documents</p><p>
o Data Validation &amp; Reconciliation Reports</p><ul><li>Identify and enable <b>AI/ML use cases,</b> such as:</li></ul><p>
o Predictive maintenance modeling</p><p>
o Inventory demand forecasting</p><p>
o Supplier performance analytics</p><ul><li><b>Leverage AI tools for:</b></li></ul><p>
o Data profiling and anomaly detection</p><p>
o Data quality assessment and cleansing recommendations</p><p>
o Advanced analytics and insights generation</p><ul><li><b>Define enterprise conceptual data model:</b></li></ul><p>
o Assets, Inventory, Work Orders, Suppliers, Workforce, Technical Docs</p><ul><li><b>Establish:</b></li></ul><p>
o Entity relationships</p><p>
o Master data definitions</p><p>
o Data standardization rules</p><ul><li>Support BI teams for dashboards and analytics</li><li>Align data models with business workflows</li><li>Ensure requirements are <b>data-feasible and consistent</b></li></ul><b><br>
Requirements</b><p><br>
3. Required Skills &amp; Experience</p><p><b>
Mandatory</b></p><ul><li><b> 5 - 8 years</b> in Data Analyst / Data Architecture roles</li><li>Experience in <b>large-scale ERP or enterprise data transformation programs</b></li><li><b>Strong expertise in:</b></li></ul><p>
o Data modelling (conceptual &amp; logical)</p><p>
o Data migration and cleansing</p><p>
o Data warehousing and reporting</p><p><b>
Technical Expertise</b></p><ul><li>Strong knowledge of:</li></ul><p>
o ETL processes and migration tools</p><p>
o SQL and relational databases</p><p>
o API-based integrations</p><ul><li>Experience with BI tools (Power BI, Tableau)</li></ul><p><b>
Preferred</b></p><ul><li>Experience in <b>ERP &amp; Enterprise Data Management </b>(logistics, manufacturing)</li><li>Exposure to:</li></ul><p>
o Maintenance (MRO) data</p><p>
o Inventory systems</p><p>
o Technical documentation repositories</p><ul><li>Demonstrated experience using AI/ML tools or platforms, such as:</li></ul><p>
o Data analysis and prediction tools</p><p>
o AI-assisted data modeling or profiling tools</p><ul><li>Ability to translate data into AI-driven insights for decision-making</li></ul><p></p>
Why Join CodeNinja?<ul><li>
Work on impactful <b>ERP transformation projects</b> at enterprise scale
</li><li>Shape end-to-end <b>data strategy, migration, and architecture</b>
</li><li>Leverage <b>AI/ML for advanced data insights and analytics</b>
</li><li>Collaborate with cross-functional teams and drive business decisions
</li><li>Build scalable <b>data models and governance frameworks</b>
</li><li>Grow in a culture of <b>innovation, ownership, and continuous learning</b></li></ul>
Equal Opportunity Statement<p>
We are an equal opportunity employer and are committed to fostering an inclusive, diverse, and equitable workplace. We do not discriminate based on race, religion, gender, age, disability, nationality, marital status, or any other protected characteristic under applicable law. We encourage candidates from all backgrounds to apply.</p><b><br>
Benefits</b><br>
<ul><li>
Provident Fund</li><li>
Gym Membership
</li><li>Leaves as per the company policy
</li><li>Company-paid trips
</li><li>Easy Loan Facility for Employees
</li><li>Yearly increment
</li><li>Maternity Benefits (Leaves &amp; WFH)
</li><li>Health Insurance (Maternity covered) &ndash; includes spouse and parents (till age 80)</li></ul></div>

Data Modeling Engineer

WinWire

<div><p><b>Location : Hyderabad/Bangalore</b></p>
<p><b>Job Description</b> :</p>
<ul><p>20+ years of comprehensive IT experience, including 8+ years in a Solution Architect or Enterprise Architect role in either Data Engineering &amp; Analytics or Application Development &amp; Infrastructure as the primary domain.</p>
<p>4+ years of cross-domain experience in the complementary domain (Data or App Dev/Infra), demonstrating architectural breadth.</p>
<p>Hands-on, deep expertise in Microsoft Azure, architecture, design, and implementation across compute, storage, networking, data, and security services; not limited to oversight.</p>
<p>Working proficiency in AWS and/or GCP, capable of designing, reviewing, and governing multi-cloud workloads across cloud platforms.</p>
<p>Practical application of Well-Architected Frameworks (Azure, AWS, or GCP) in production solution design, demonstrated hands-on implementation, not theoretical familiarity.</p>
<p>Demonstrated knowledge of TOGAF principles and their practical application in enterprise architecture governance and design.</p>
<p>Strong understanding of SRE principles, SLOs, error budgets, reliability patterns, and observability frameworks, with experience embedding these into engineering programs.</p>
<p>Demonstrated ability to leverage AI tools (GitHub Copilot, AI-assisted code review, automated testing, intelligent monitoring and incident analysis) to automate and standardize engineering practices, achieving simultaneous, measurable gains in team productivity and solution quality.</p>
<p>Proven ability to whiteboard solutions, drive structured solutioning workshops, and translate ambiguity into actionable architectural decisions.</p>
<p>Strong trade-off analysis and technology selection skills, able to evaluate options rigorously and recommend with clear rationale.</p>
<p>Experience defining solution and capability roadmaps aligned to business strategy and multi-year technology evolution.</p>
<p>Exceptional presentation and storytelling skills, able to communicate architecture clearly and persuasively to both technical teams and executive/business stakeholders.</p>
<p>Strong consulting and client-facing skills demonstrated ability to work with customers, technology partners, and internal SMEs across diverse stacks and domains, and influenced architectural decisions.</p>
<p>Robust integration skills across custom applications, data platforms, and COTS solutions.</p>
<p>Hands-on experience with CI/CD, DevOps toolchains, infrastructure-as-code, and automation practices.</p>
<p>Ability to balance technical contribution with team leadership, a practicing architect, not just a reviewer.</p>
<p>We are seeking a senior Enterprise Solution Architect who combines deep technical hands-on ability with the strategic foresight to shape architecture at enterprise scale. The ideal candidate brings a primary domain depth, either in Data Engineering &amp; Analytics or Application Development &amp; Infrastructure, backed by 8+ years in an Architect role, and meaningful cross-domain exposure in the secondary area (4+ years).A key differentiator for this role is the ability to strategically leverage AI tools to automate and standardize engineering practices, driving simultaneous improvements in team productivity and solution quality at scale.</p>
</ul>
<p><b>Key Skills: SRE practices, cloud architecture (Azure &amp; AWS / GCP), (Java/Python Programming/Dot Net) &amp; (Data Analytics/Data Engineering &amp; Infrastructure)</b></p></div>

Enterprise Architect - App Dev & Infra

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader"><b>Job Description (JD)</b></h1><h3 class="jobSectionHeader"><b>
Role: Data Architect / Tech Lead &ndash; Data Engineering &amp; Analytics</b></h3><p><b>
Location:</b> Onsite - Riyadh<br>
<b>Must Have</b>: <b>Experience over CVM implementation for Telco</b><br>
<b>Experience:</b> 8&ndash;12+ Years<br>
<b>Industry Preference:</b> Telecommunications</p><p></p><h2 class="jobSectionHeader"><b>
About the Role</b></h2><p>
We are seeking a highly experienced <b>Data Architect / Tech Lead</b> to lead the design, development, and optimization of enterprise-scale data platforms. The ideal candidate will bring deep expertise in data architecture, ETL pipelines, and modern data ecosystems, along with strong leadership capabilities to drive large-scale transformation initiatives.</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Lead end-to-end <b>data architecture design</b> for enterprise data platforms and analytics solutions</li><li>
Design and implement <b>scalable data warehouses, data lakes, and ETL pipelines</b></li><li>
Drive <b>data modeling (logical &amp; physical)</b> and semantic layer design</li><li>
Oversee <b>data integration</b> across multiple systems using tools like Informatica, DataStage, and Spark</li><li>
Lead large-scale initiatives such as <b>system migrations, platform modernization, and architecture revamps</b></li><li>
Ensure <b>data quality, governance, and compliance</b> across data assets</li><li>
Build and optimize <b>high-performance data pipelines</b> and reporting systems</li><li>
Enable <b>self-service BI and analytics</b> using tools like Tableau, MicroStrategy, and QlikView</li><li>
Collaborate with business stakeholders to translate requirements into <b>technical solutions</b></li><li>
Lead and mentor cross-functional teams including data engineers, analysts, and BI developers</li><li>
Drive <b>automation in reporting and data operations</b></li><li>
Manage performance tuning and optimization of databases and queries</li></ul><p></p><h2 class="jobSectionHeader"><b>
Required Skills &amp; Experience</b></h2><h3 class="jobSectionHeader"><b>
Technical Skills</b></h3><ul><li>
Strong expertise in:<ul><li><b>
Teradata</b>, <b>Informatica</b>, <b>Apache Spark</b>, <b>Cloudera (Big Data ecosystem)</b></li><li><b>
ETL/ELT design and development</b></li><li><b>
SQL, Python, Shell Scripting</b></li></ul></li><li>
Hands-on experience with:<ul><li><b>
Data modeling tools (Erwin or equivalent)</b></li><li><b>
Data warehouse architecture</b></li><li><b>
Semantic layer design</b></li></ul></li><li>
Database experience:<ul><li><b>
Teradata, Oracle, MySQL, PostgreSQL</b></li></ul></li><li>
BI &amp; Reporting:<ul><li><b>
Tableau, MicroStrategy, QlikView</b></li></ul></li><li>
Familiarity with:<ul><li><b>
GitHub, C#, DataOps frameworks</b></li></ul></li></ul><p></p><h3 class="jobSectionHeader"><b>
Functional Skills</b></h3><ul><li>
Data Architecture &amp; Solution Design</li><li>
Data Integration &amp; Pipeline Development</li><li>
Reporting &amp; Dashboard Automation</li><li>
Performance Optimization</li><li>
Data Governance &amp; Quality Assurance</li><li>
Business &amp; Data Analysis</li></ul><p></p><h2 class="jobSectionHeader"><b>
Leadership &amp; Soft Skills</b></h2><ul><li>
Proven experience leading <b>large-scale data programs</b></li><li>
Strong stakeholder management and communication skills</li><li>
Ability to manage <b>cross-functional and distributed teams</b></li><li>
Experience in <b>project delivery and technical governance</b></li></ul><p></p><h2 class="jobSectionHeader"><b>
Education</b></h2><ul><li>
Bachelor&rsquo;s degree in <b>Information Technology / Computer Science / Engineering</b> or related field</li></ul><p></p><h2 class="jobSectionHeader"><b>
Preferred Experience</b></h2><ul><li>
Telecom domain experience (highly preferred)</li><li>
Experience in <b>large transformation programs</b> (e.g., system revamps, migrations)</li><li>
Exposure to <b>product ownership or project management roles</b></li></ul><p>
</p><p>o79llUR4WA</p></div>

Tech Lead – Data Engineering & Analytics

Connecticut Innovations

<div>
 <p>
  Are you ready to join Connecticut Innovation&rsquo;s vibrant community of innovators? Connecticut Innovations (&ldquo;CI&rdquo;) is Connecticut&rsquo;s strategic venture capital arm, and we are passionate about serving our portfolio of 220+ companies across various industries, with strengths in life sciences, technology, and climate tech.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Come join Arccos Golf. Golf&rsquo;s #1 Game Tracker.!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Arccos
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Named one of "The World's Most Innovative Companies" by Fast Company, Arccos is the global leader in golf data and AI, providing the game&rsquo;s first A.I.-powered platform that automatically tracks shots and delivers personalized insights to help golfers play smarter and improve faster. As the Official Game Tracker of the PGA TOUR, Arccos has built a passionate community of golfers who use data to unlock their potential on the course.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Arccos works with many of golf&rsquo;s most influential brands and players. Strategic partners include the PGA TOUR, PING, Titleist, COBRA PUMA Golf, Callaway, TaylorMade and Club Champion, as well as Matthew Fitzpatrick and Edoardo Molinari.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We exist to unlock human potential in sport through intelligence. Our mission is to improve the performance of dedicated golfers at every level by seamlessly collecting rich data and generating actionable insights.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Engineer | Role Overview
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our data volume, structure, and business logic have grown faster than our underlying architecture. Today, working with our data requires deep tribal knowledge, significant time investment, and complex queries across scattered tables and pipelines.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are hiring a Staff Data Engineer, Data Architecture &mdash; an individual contributor who will take end-to-end ownership of designing, documenting, and implementing the next-generation data architecture for Arccos. This is a rare opportunity to start with near-greenfield autonomy, rethinking ingestion, modeling, transformations, governance, and access patterns across the entire company.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role is for someone who loves building systems right, turning chaos into clarity, and enabling data science, analytics, and product teams to move dramatically faster.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Architect and Implement a Modern, Unified Data Platform
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Redesign Arccos's data architecture from the ground up with a focus on scalability, clarity, and long-term maintainability.
  </li>
  <li>
   Create canonical models, schemas, and semantic layers that eliminate duplicated logic and reduce time-to-insight across teams.
  </li>
  <li>
   Unify fragmented tables and data sources into coherent, well-documented, lineage-aware structures.
  </li>
  <li>
   Identify where to shift business logic upstream and create reliable, auditable data transformations.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Design a Data Ecosystem that Supports AI-Driven Analytics
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Architect data structures, metadata layers, and documentation standards that enable AI tooling, including Snowflake's Conversational Analytics and emerging agentic analysis workflows.
  </li>
  <li>
   Build and maintain a comprehensive, AI-ready data dictionary across MySQL and Snowflake &mdash; ensuring every table and field is clearly described, contextualized, and optimized for LLM-based context retrieval.
  </li>
  <li>
   Ensure schemas, lineage, semantic layers, and business logic are organized so AI systems can reliably understand context, meaning, and relationships across datasets.
  </li>
  <li>
   Provide data architecture guidance and logging infrastructure to support Arccos's LLM/AI strategy.
  </li>
  <li>
   Build with the assumption that a growing percentage of internal analytics, querying, and business insights will be generated or augmented by AI agents.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Build High-Quality Data Pipelines
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Own ingestion and transformation pipelines spanning: app telemetry, shot and sensor data, subscriptions and commerce, internal business systems, and product analytics.
  </li>
  <li>
   Architect highly optimized Snowflake models and performance-tuned warehouse patterns.
  </li>
  <li>
   Improve organization and access patterns across large volumes of raw and enriched S3 data, including flattening and restructuring JSON dumps and semi-structured data.
  </li>
  <li>
   Use (or refine) existing orchestration tooling like Airflow; recommend improvements where appropriate.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Create Standards, Documentation, and Governance
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Define naming conventions, folder structures, transformation standards, and SQL style guidelines.
  </li>
  <li>
   Build and maintain comprehensive data documentation, lineage mapping, and data dictionaries.
  </li>
  <li>
   Introduce robust data quality checks, automated validation, and monitoring.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Partner Across the Organization
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Work closely with data science, engineering, product, and growth teams to create data structures that support analytics, ML, and product development.
  </li>
  <li>
   Contribute to active feature development in parallel with onboarding &mdash; ensuring new data structures are designed correctly from the start rather than retrofitted later.
  </li>
  <li>
   Dramatically simplify the downstream query experience so teams can be productive without heroic effort.
  </li>
  <li>
   Be the company-wide steward of best practices for ingesting, modeling, and deploying data.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    What We're Looking For
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   6&ndash;12+ years in data engineering or data architecture roles.
  </li>
  <li>
   Demonstrated experience architecting both transactional database systems and data warehouses &mdash; understanding how data flows from OLTP sources into analytical environments and designing both sides well.
  </li>
  <li>
   Deep experience with:
  </li>
  <li>
   <strong>
    AWS
   </strong>
   (S3, Lambda, IAM, Airflow)
  </li>
  <li>
   <strong>
    Snowflake
   </strong>
   (performance tuning, modeling, optimization)
  </li>
  <li>
   <strong>
    MySQL
   </strong>
   (schema design, query optimization, managing production OLTP data as a source for analytics)
  </li>
  <li>
   <strong>
    Python
   </strong>
   for ETL/ELT development
  </li>
  <li>
   <strong>
    SQL
   </strong>
   expertise at a high craft level.
  </li>
  <li>
   Proven success architecting complex, multi-source data ecosystems.
  </li>
  <li>
   Experience working with large semi-structured datasets (JSON, Parquet, logs).
  </li>
  <li>
   Demonstrated ability to bring order to fragmented, legacy, or fast-evolving environments.
  </li>
  <li>
   Understanding of how metadata, documentation, and schema design influence LLM performance and context retrieval.
  </li>
  <li>
   Strong communication and documentation skills.
  </li>
  <li>
   Thrives as a high-ownership, self-directed individual contributor who can assess what needs to be done and drive toward it autonomously.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to Have
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Experience with AI-driven analytics and agentic tools (e.g., Snowflake's Conversational Analytics).
  </li>
  <li>
   Ability to architect data systems that support natural-language interfaces and automated insight generation.
  </li>
  <li>
   Experience with analytical modeling layer tools.
  </li>
  <li>
   Experience supporting ML training pipelines (S3 &rarr; high-memory/GPU compute).
  </li>
  <li>
   Database administration familiarity (replication, uptime management, performance troubleshooting) &mdash; this role is not a DBA, but comfort interfacing with outsourced DBA resources is a plus.
  </li>
  <li>
   Familiarity with MySQL schema migration strategies.
  </li>
  <li>
   Interest in golf or sports data (not required).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Who You Are
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   You're a systems thinker who enjoys building elegant, maintainable architectures.
  </li>
  <li>
   You care deeply about data integrity.
  </li>
  <li>
   You love designing, building, coding, optimizing, and documenting.
  </li>
  <li>
   You take pride in clarity and structure.
  </li>
  <li>
   You lean toward doing things right, not just doing them fast.
  </li>
  <li>
   You enjoy partnering with data science and engineering teams to remove friction and unlock their potential.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Success in the First 90&ndash;180 Days
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Within 30 Days
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Develop a thorough understanding of Arccos's current data landscape &mdash; MySQL schemas, Snowflake warehouse, S3 data, pipelines, and key pain points.
  </li>
  <li>
   Produce a documented assessment of the ecosystem: gaps, risks, duplication, and technical debt.
  </li>
  <li>
   Begin contributing to active feature development and new initiatives (e.g., LLM/AI logging and data architecture needs) in parallel with onboarding.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Within 60 Days
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Deliver a proposed Target State Architecture with clear principles and a phased implementation plan.
  </li>
  <li>
   Deliver an AI-ready data dictionary covering key MySQL and Snowflake tables &mdash; every table and field documented with clear descriptions optimized for LLM consumption.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Within 90 Days
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Stand up initial canonical models for key domains (e.g., users, sessions, commerce, shot-level data).
  </li>
  <li>
   Establish naming conventions, transformation standards, and folder structures.
  </li>
  <li>
   Deliver initial documentation and lineage mapping for top critical pipelines.
  </li>
  <li>
   Reduce query complexity for high-impact stakeholders (DS, product, exec analytics).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Within 180 Days
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Implement major portions of the redesigned ingest + transformation pipeline.
  </li>
  <li>
   Migrate priority data sources to new canonical models.
  </li>
  <li>
   Introduce automated data quality checks and monitoring across core domains.
  </li>
  <li>
   Measurably reduce analysis time and eliminate major areas of schema confusion.
  </li>
  <li>
   Deliver a documented, scalable architecture that supports ML, analytics, and product needs.
  </li>
  <li>
   Be recognized internally as the owner and subject matter expert for Arccos's data platform.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Competitive Compensation &ndash; We offer a market-competitive salary structure designed to attract and retain top talent.
  </li>
  <li>
   Comprehensive Health Coverage &ndash; Access to competitively priced medical, dental and vision insurance through our nationwide Professional Employer Organization (PEO).
  </li>
  <li>
   401(k) with Company Match &ndash; Plan for your future with our employer-sponsored 401(k) program and company matching contributions.
  </li>
  <li>
   Flexible Time Off &ndash; Enjoy an unlimited PTO policy built on trust, accountability and performance.
  </li>
  <li>
   Golf Reimbursements &ndash; We support your passion for the game and the opportunity to utilize and test our unique product offerings.
  </li>
  <li>
   People and Culture &ndash; Join a highly engaged, passionate team that values collaboration, initiative, and a shared love for what we do.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Arccos is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
 </p>
</div>


Data Engineer

QAFCO (Qatar Fertiliser Company)

<div>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 The Enterprise Architect is responsible for defining, governing, and continuously evolving the organization&rsquo;s enterprise architecture across Information Technology (IT), Operational Technology (OT), Cybersecurity, Data, and Digital Office domains within the Oil &amp; Gas environment. The role ensures that all technology capabilities are fully aligned with corporate strategy, operational excellence objectives, HSE priorities, cybersecurity resilience requirements, and long-term digital transformation goals.
 <br/>
 <br/>
 The Enterprise Architect establishes an integrated architecture vision that connects business capabilities, industrial control systems, enterprise applications, data platforms, infrastructure, and digital collaboration environments into a secure, scalable, and future-ready ecosystem. This includes enabling IT/OT convergence while maintaining operational integrity, safety compliance, and cyber resilience in mission-critical environments.
 <br/>
 <br/>
 <strong>
  The Enterprise Architect Ensures That Technology Investments
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Deliver measurable business value
  </li>
  <li>
   Improve operational efficiency and reliability
  </li>
  <li>
   Enhance cybersecurity posture
  </li>
  <li>
   Reduce technical debt and system redundancy
  </li>
  <li>
   Support regulatory compliance and risk management
  </li>
  <li>
   Enable data-driven decision-making across field and corporate operations
   <br/>
   <br/>
  </li>
 </ul>
 In addition, the role champions secure digital transformation by embedding cybersecurity-by-design principles, promoting zero-trust architecture, strengthening industrial control system protections, and ensuring business continuity in high-risk operational environments.
 <br/>
 <br/>
 The Enterprise Architect also leads the Digital Office strategy to modernize the workplace through cloud adoption, collaboration platforms, automation, AI-enabled productivity tools, and secure remote access solutions &mdash; improving workforce productivity and digital experience across corporate offices and remote field locations.
 <br/>
 <br/>
 Ultimately, the Enterprise Architect is accountable for building a resilient, innovative, and integrated technology landscape that enables sustainable growth, operational excellence, and competitive advantage in QAFCO.
 <br/>
 <br/>
 <strong>
  Key Accountabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and maintain the enterprise architecture (EA) framework, principles, standards, policies and operating models.
  </li>
  <li>
   Define integrated IT/OT/cyber security /Digital architecture principles.
  </li>
  <li>
   Establish long-term IT road maps with alignment with business, cybersecurity, and Digital Office.
  </li>
  <li>
   Align IT strategy and architecture with business goals and corporate strategy.
  </li>
  <li>
   Define and manage enterprise technology roadmaps (short-, medium-, and long-term).
  </li>
  <li>
   Establish governance processes to ensure compliance with architectural standards.
  </li>
  <li>
   Translate business capabilities and strategy into technology architecture requirements.
  </li>
  <li>
   Partner with business stakeholders to understand transformation priorities.
  </li>
  <li>
   Ensure IT initiatives support enterprise-wide integration and optimization.
  </li>
  <li>
   Identify opportunities for digital innovation and automation.
  </li>
  <li>
   Define target-state architectures across:
  </li>
 </ul>
 <li>
 </li>
 <li>
 </li>
 <ul>
  <li>
   Business Architecture
  </li>
  <li>
   Application Architecture
  </li>
  <li>
   Data &amp; Information Architecture
  </li>
  <li>
   Infrastructure &amp; Cloud Architecture
  </li>
  <li>
   OT/ICS Architecture (SCADA, DCS, PLC)
  </li>
  <li>
   Cybersecurity Architecture
  </li>
  <li>
   Digital Workplace Architecture
  </li>
  <li>
   Integration Architecture
  </li>
  <li>
   Ensure secure integration between enterprise IT and operational technologies.
  </li>
  <li>
   Drive interoperability across production, refining, and distribution systems.
  </li>
  <li>
   Oversee system integration and interoperability standards.
  </li>
  <li>
   Ensure scalability, performance, and reliability of enterprise platforms.
  </li>
  <li>
   Establish enterprise data governance architecture.
  </li>
  <li>
   Enable enterprise data platforms and analytics.
  </li>
  <li>
   Support AI/ML, digital twins, and advanced analytics.
  </li>
  <li>
   Promote automation and RPA initiatives.
  </li>
  <li>
   Drive adoption of emerging digital technologies.
  </li>
  <li>
   Lead cloud adoption strategy.
  </li>
  <li>
   Evaluate and recommend emerging technologies.
  </li>
  <li>
   Rationalize application and technology portfolio to reduce redundancy.
  </li>
  <li>
   Lead legacy system modernization initiatives.
  </li>
  <li>
   Assess vendor solutions and ensure architectural fit.
  </li>
  <li>
   Ensure architectural designs comply with cybersecurity and regulatory requirements.
  </li>
  <li>
   Identify technical risks and develop mitigation strategies.
  </li>
  <li>
   Collaborate with Information Security and Risk teams.
  </li>
  <li>
   Support disaster recovery and business continuity planning.
  </li>
  <li>
   Provide architectural leadership across IT and business units.
  </li>
  <li>
   Mentor solution architects and technical teams.
  </li>
  <li>
   Present architecture strategies and investment cases to executive leadership.
  </li>
  <li>
   Act as a trusted advisor for strategic technology decisions.
  </li>
  <li>
   Promote best practices in architecture and solution design.
  </li>
  <li>
   Drive cloud adoption, automation, DevOps, and modernization strategies.
  </li>
  <li>
   Continuously evaluate architectural maturity and optimize frameworks.
  </li>
  <li>
   Participate in the on-the-job training of trainees and newly hired personnel within the Group to ensure that they develop the necessary skills to independently carry out assigned activities. Train End-Users in the application of newly developed systems.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s Degree in IT, Computer Engineering, or relevant discipline.
  </li>
  <li>
   7+ years direct and relevant experience.
  </li>
 </ul>
</div>


Enterprise Architect

ROLLER

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


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