data platform architect

ITC Worldwide

<div>
 
 Remote | part-time 20+ hours per week
 
 
 
 
 Flex: Work Hours: (0800 GMT - 2359 GMT)
 
 
 
 We are seeking a highly skilled
 
 Dataverse Architect
 
 to design and build enterprise-grade solutions using Microsoft Power Platform. This role focuses on secure Dataverse architecture, business application modernization, Azure integrations, and automation strategy.
 
 
 
 You Will:
 
 
 
 <ul>
 <li>
 Architect Dataverse environments and enterprise data models
 </li>
 <li>
 Build model-driven and canvas apps
 </li>
 <li>
 Implement Power Automate workflows and Azure integrations
 </li>
 <li>
 Define governance, ALM, and security best practices
 </li>
 <li>
 Lead modernization projects (e.g., Learning Management Apps, workflow automation, CRM/ERP extensions)
 
 
 
 </li>
 </ul>
 
 You Need:
 
 
 
 <ul>
 <li>
 5+ years Power Platform experience
 </li>
 <li>
 Dataverse architecture expertise
 </li>
 <li>
 Strong Azure integration skills
 </li>
 <li>
 Experience with DevOps, governance, and solution lifecycle management
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Microsoft PL‑600 (Solution Architect Expert)
 </li>
 <li>
 Microsoft PL‑400 (Power Platform Developer)
 </li>
 <li>
 Microsoft Azure Architect credentials (AZ‑305 or equivalent)
 </li>
 <li>
 Experience in enterprise modernization, or digital transformation projects
 
 
 
 </li>
 </ul>
 If you build scalable, modern, data-driven business applications, wed love to meet you.
</div>

Data Solution Architect – Dataverse Developer

Starlink Qatar

<div>
 
 📌 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻:
 
 
 We are seeking an experienced Data Architect to join our team in Doha, Qatar. The ideal candidate will be responsible for designing and implementing the foundational data architecture, pipelines, and models that power our central platform and its various solutions. This role is pivotal in ensuring all data assets are reliable, scalable, secure, and cost-efficient. You will develop and maintain robust ETL/ELT pipelines, map data sources for seamless integration, and design optimal data models. Collaborating closely with business and technical stakeholders, you will translate requirements into scalable data solutions that meet stringent performance, governance, and quality standards. Your expertise will drive the continuous improvement of our data platforms through best practices in data engineering, metadata management, and pipeline automation.
 
 
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 
 
 
 
 
 🎯 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀:
 
 
 &rtrif; 7&ndash;10 years of progressive experience in the data architecture domain, designing and governing large-scale data platforms.
 
 
 &rtrif; Proficiency in the Microsoft Azure Ecosystem, including Azure Data Factory (ADF), Azure Fabric, Databricks, and Azure Data Lake Storage (ADLS).
 
 
 &rtrif; Proven expertise in designing conceptual, logical, and physical data models.
 
 
 &rtrif; Strong experience developing ETL/ELT pipelines for both structured and unstructured data.
 
 
 &rtrif; Solid understanding of cloud-based data architectures such as Lakehouse, Data Warehouse, and Data Lake paradigms.
 
 
 &rtrif; Deep knowledge of data performance optimization techniques and security controls (e.g., row-level security, data masking, encryption).
 
 
 &rtrif; Experience with real-time data processing using technologies like Azure Streaming.
 
 
 &rtrif; Demonstrated ability to implement data reliability measures, including SLAs, retry mechanisms, and automated monitoring.
 
 
 
 
 
 ✨ 𝗗𝗲𝘀𝗶𝗿𝗮𝗯𝗹𝗲𝘀:
 
 
 &rtrif; Microsoft Certified: Azure Data Engineer, Azure Solutions Architect Expert, or equivalent certifications.
 
 
 &rtrif; Experience collaborating with Enterprise Architecture, Data Governance, and Data Science teams.
 
 
 &rtrif; Strong leadership and mentoring skills with experience guiding cross-functional teams.
 
 
 &rtrif; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, or a related field.
 
 
 &rtrif; Ability to align data architecture with business strategy and measurable outcomes.
 
</div>

Data Architect

edari

<div>
 
 We are looking to hire a
 
 Data Architect
 
 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
 
 Dubai- one of the largest semi-government in the region
 
 .
 
 
 
 
 
 This position is a contract role with an initial duration of
 
 6 months
 
 and is
 
 renewable based on performance
 
 .
 
 
 
 
 
 We are looking for a passionate a
 
 Data Architect
 
 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.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <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>
 
 
 
 
 
 Knowledge, Skills &amp; Experience:
 
 
 <ul>
 <li>
 Minimum
 
 10 years
 
 of experience in enterprise data architecture.
 </li>
 <li>
 Strong experience in Azure.
 </li>
 <li>
 Hands on experience in
 
 Palantir
 
 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>
 
 
 
 
 
 Availability:
 
 
 <ul>
 <li>
 Preference w ill be given to candidates available immediately after accepting the offer.
 </li>
 </ul>
 
 
 
 
 We are looking for a candidate who will be able to work in
 
 United Arab Emirates
 
 . 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
 
 Edari
 
 will be in touch to discuss the role and potential next steps.
 
</div>

Uber

<div>About the Role
 
 
The Growth and Marketing Platform Data Team is looking for a highly skilled and passionate Data Engineer to build and scale Uber's data infrastructure. In this role, you'll develop high-performance data pipelines, real-time streaming systems, and robust data architectures that power Uber's growth and marketing initiatives. 
 
You'll collaborate with Product Managers, Data Scientists, Data Platform Engineers, and Marketing Operations to design scalable, efficient, and reliable data solutions that drive business impact. This is a highly visible and impactful role for someone who thrives on data at scale, technical leadership, and solving ambiguous problems with clarity and precision. 
 
What You Will Do
 
<ul><li>Design, develop, and maintain scalable data pipelines and backend services for processing large-scale web event analytics.</li><li>
Lead the development of core data infrastructure, ensuring high availability, performance, and reliability.</li><li>
Solve complex challenges at the intersection of low latency, high correctness, and full determinism.</li><li>
Architect and optimize data models, ETL/ELT workflows, and distributed data processing frameworks.</li><li>
Participate in code reviews, mentor junior engineers, and enforce best practices in data engineering.</li><li>
Diagnose and resolve data quality issues, ensuring accuracy, efficiency, and security.</li></ul> 

Basic Qualifications
 
<ul><li>4+ years of experience in data engineering or backend software development.</li><li>
Proficiency in Python, SQL, Java, or Scala for data pipeline development.</li><li>
Proficiency in Big Data frameworks (e.g., Spark, Flink, Presto, MapReduce) and distributed computing.</li><li>
Data warehouse and Data Modeling experience</li></ul> 
 
Preferred Qualifications 
<ul><li>
Experience in Web and SEO Analytics</li><li>
Experience in Marketing Technologies</li><li>
Designing and executing on Real-time and Near Real-time Systems</li></ul> 
For San Francisco, CA-based roles: The base salary range for this role is USD$171,000 per year - USD$190,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Data Engineer - Growth and Marketing Platform

PROZ TECHNOLOGIES

JOB DESCRIPTIONThe 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.DUTIES &amp; RESPONSIBILITIES<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>SKILLS &amp; ABILITIES<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>POTENTIAL BACKGROUND<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>PREFERRED TOOLS / SOFT SKILLSPreferred tools:<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>Soft skills:<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>Job Type: PermanentPay: Up to QAR24,000.00 per month

Data & Analytics Architect

<div>
 
 The
 
 Data &amp; Analytics Architect
 
 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.
 
 
 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.
 
 
 
 
 
 
 Duties &amp; Responsibilities
 
 
 <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>
 
 
 
 
 
 Skills &amp; Abilities
 
 
 <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>
 
 
 
 
 
 Education &amp; Background
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in
 
 Computer Science, Information Technology, Cybersecurity
 
 , 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>
 
 
 
 
 
 Preferred Tools / Soft Skills
 
 
 
 
 Preferred Tools
 
 
 <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>
 
 
 Soft Skills
 
 
 <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>

Information Technology Senior Management Forum

<div><div>Posted Date
3/18/2026
</div><div>Description
<div>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.
Position: Data Architect, Data Foundry
Location: San Diego, CA; San Francisco, CA; Boston, MA; Louisville, CO; Indianapolis, IN
Overview
Lilly Small Molecule Discovery is purpose-built to create molecules that make life better for people. Discovery Technology and Platforms (DTP) accelerates molecule discovery by building optimized foundational platforms, streamlining lab operations through advanced technologies and data connectivity, and investing in novel capabilities.
Data Foundry is a multidisciplinary team within DTP that enables AI-native drug discovery through four integrated pillars: Architecture4Insight (data infrastructure and scientific software), Methods4Insight (analytical and computational methods), Automation &amp; Scale4Insight (lab automation and agentic workflows), and Preparedness4Insight (data governance and readiness). These pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities&mdash;serving both human scientists and autonomous AI agents.
Position Summary
We are seeking Data Architects at multiple levels to design and build the data infrastructure that makes AI-native drug discovery possible. You will create the schemas, ontologies, data models, knowledge graphs, and platform architectures that transform raw scientific data into machine-actionable, FAIR-compliant, insight-ready assets&mdash;serving both discovery scientists and autonomous AI agents.
This role is the foundation of Architecture4Insight . Everything the software engineering team builds&mdash;pipelines, APIs, prototypes&mdash;depends on the data models and platform architecture this team designs. You will work with deep knowledge of scientific data (chemical, biological, HTE, automation-generated) to create custom-fit solutions, then partner with Tech@Lilly to scale and maintain them. The role spans three focus areas depending on expertise: data modeling &amp; ontologies , data platform &amp; lakehouse architecture , and knowledge graph &amp; specialized data systems .
Responsibilities
Data Modeling &amp; Ontologies
<ul><li>Design and implement data models, schemas, and ontologies for chemical, biological, and automation-generated data that serve discovery workflows across the portfolio.</li>
<li>Define and maintain controlled vocabularies, metadata standards, and FAIR-compliant data frameworks in partnership with Preparedness4Insight.</li>
<li>Implement semantic data standards (RDF, OWL, SPARQL) and ontology engineering practices to create interoperable, machine-readable scientific data.</li>
</ul>
Data Platform &amp; Lakehouse Architecture
<ul><li>Design and implement data lakehouse architecture using modern platforms (Databricks, Snowflake, or equivalent), including data storage patterns, partitioning strategies, and query optimization.</li>
<li>Build and optimize ETL/ELT pipelines using Spark, dbt, or similar tools to transform raw scientific data into analytical and ML-ready formats.</li>
<li>Implement real-time and streaming data integration (Kafka, Kinesis, event-driven patterns) connecting LIMS, instruments, and lab automation systems to the data infrastructure.</li>
</ul>
Knowledge Graph &amp; Specialized Data Systems
<ul><li>Design and implement knowledge graphs (Neo4j, Amazon Neptune, TigerGraph) that capture molecular, target, pathway, and experimental relationships across the discovery landscape.</li>
<li>Architect specialized data solutions: array databases (TileDB) for genomics/imaging, document stores (MongoDB) for experimental records, and vector databases for embedding-based retrieval supporting ML and RAG workflows.</li>
<li>Build query and traversal patterns that enable scientists and AI agents to ask relational questions across the entire data landscape.</li>
</ul>
Cross-Functional Partnership
<ul><li>Partner with scientific software engineers to ensure data architectures are implementable, performant, and well-documented.</li>
<li>Collaborate with Methods4Insight to design data structures that support analytical model training, deployment, and evaluation.</li>
<li>Work with Tech@Lilly to define scaling strategies, ensure enterprise compliance, and transition data architectures to production-grade management.</li>
<li>Contribute to build-versus-buy-versus-adopt decisions by evaluating commercial and open-source data platforms against Data Foundry requirements.</li>
</ul>
Basic Requirements
<ul><li>B.S. or M.S. in Computer Science, Data Science, Bioinformatics, Computational Biology, Information Science, or related STEM field; Ph.D. valued for ontology and knowledge graph roles.</li>
<li>B.S. with 7+ years and M.S. with 5+ years of data architecture, data engineering, or scientific informatics' experience.</li>
<li>SQL skills and experience in multiple database paradigms (relational, graph, document, columnar, key-value).</li>
</ul>
Preferred Qualifications
<ul><li>Expertise in at least one of: data modeling/ontologies, data platform engineering (Databricks, Snowflake, Spark), or graph/specialized databases (Neo4j, Neptune, MongoDB).</li>
<li>Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data integration patterns.</li>
<li>Understanding of scientific data types and experimental workflows in life sciences or pharma (chemical, biological, HTE data).</li>
<li>Strong communication skills with ability to translate data architecture concepts for both technical and scientific audiences.</li>
<li>Pharmaceutical or biotech research industry experience, particularly in discovery data management or research informatics.</li>
<li>Experience with semantic web technologies: RDF, OWL, SPARQL, Prot&eacute;g&eacute;, or equivalent ontology engineering tools.</li>
<li>Hands-on experience with graph databases (Neo4j, Neptune, TigerGraph) and knowledge graph design patterns for scientific data.</li>
<li>Data lakehouse architecture experience: Databricks (Delta Lake, Unity Catalog), Snowflake, or equivalent; ETL/ELT with Spark, dbt.</li>
<li>Experience with streaming/real-time data platforms (Kafka, Kinesis, Flink) and event-driven architectures.</li>
<li>Familiarity with LIMS, ELN systems (e.g., Benchling), and laboratory instrument data integration.</li>
<li>Experience with vector databases (Pinecone, Weaviate, pgvector) and embedding-based retrieval for ML/RAG applications.</li>
<li>Array database experience (TileDB, Zarr) for genomics, imaging, or high-dimensional scientific data.</li>
<li>Experience with bioinformatics data formats (FASTA, BAM/CRAM, VCF) and biological sequence databases; familiarity with NGS data pipelines and proteomics data management.</li>
<li>FAIR data principles implementation experience and Data Readiness Level frameworks.</li>
<li>Scientific data standards and controlled vocabularies in chemistry (InChI, SMILES) or biology (Gene Ontology, UniProt, pathway databases such as Reactome or KEGG).</li>
</ul>
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$132,000 - $193,600
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>
</div><div>Salary
132,000.00 - 193,600.00 Annual</div></div><div></div>

Data Architect, Data Foundry

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