lead data architect

Work From Home

<div><h5 class="jobSectionHeader">This is OUR story... and YOUR next chapter</h5>
At HCA Healthcare, our Digital Transformation and Innovation (DT&amp;I) team is redefining what&rsquo;s possible inpatient care. Byleveragingthe power of artificial intelligence, automation, and digital technologies, DT&amp;I is helping drive meaningful improvements in clinical outcomes, reduce manual workload, and expand the reach of our care teams. Ifyou'repassionate about using technology to improve human life, this is where your work truly matters<h5 class="jobSectionHeader">
What you will accomplish in this role</h5> 
What you will do:
Core Competencies
The following are highlighted entrepreneurial competencies and core expectations for the job/role:<ul><li>
Strategic thinking and architectural leadership</li><li>
Deep technical expertise in cloud data platforms</li><li>
Strong problem-solving and systems design skills</li><li>
Ability to bridge business, clinical, and technical domains</li><li>
Clear written and verbal communication</li></ul>
This role will focus on setting technical direction on groups of applications and similar technologies as well as taking responsibility for the implementation of technically robust solutions encompassing all business, architecture, and technology constraints.
Technical Leadership &amp; Architecture<ul><li>
Define and own enterprise-scale data architecture patterns for multi-modal ingestion and Lakehouse platforms on Google Cloud Platform.</li><li>
Architect and evolve document-centric and unstructured data pipelines that support ingestion, enrichment, embedding, indexing, storage, and retrieval at scale.</li><li>
Lead the design of intelligent ingestion frameworks leveraging LLMs and advanced techniques (e.g., semantic chunking, embeddings, metadata extraction, classification, and enrichment).</li><li>
Establish architectural standards for cost-optimized, high-throughput ingestion across batch, streaming, and event-driven workloads.</li><li>
Drive platform designs that support search, analytics, and downstream AI/ML use cases in partnership with the AI/ML organization.</li></ul>
Lakehouse &amp; Data Platform Design<ul><li>
Architect and manage enterprise Lakehouse environments using technologies such as BigQuery, Apache Iceberg, Delta Lake, and GCS.</li><li>
Ensure strong design around schema evolution, ACID compliance, partitioning strategies, metadata management, and lifecycle policies.</li><li>
Optimize storage and compute usage to balance performance and cost across large-scale document and data repositories.</li><li>
Design data models and access patterns that support both analytical and AI-driven workloads.</li></ul>
Ingestion, Processing &amp; AI Enablement<ul><li>
Design and oversee ETL/ELT and ingestion pipelines using Dataflow, Dataproc, Pub/Sub, Cloud Run, GKE, and related services.</li><li>
Integrate AI/ML services into ingestion and processing pipelines for document understanding and content intelligence in partnership with that practice area.</li><li>
Partner with AI/ML teams to enable embedding generation, vector storage, and retrieval patterns aligned with enterprise governance standards.</li><li>
Ensure ingestion frameworks are resilient, observable, and designed for continuous evolution.</li></ul>
API Architecture &amp; Governance 
<ul><li>
Design and implement enterprise-grade REST and event-driven APIs aligned with OpenAPI specifications, versioning standards, and backward compatibility principles.</li><li>
Define and enforce API governance frameworks including naming conventions, authentication patterns, rate limiting, pagination strategies, and error handling standards.</li><li>
Architect API layers that serve both human-facing applications and AI agent consumers, ensuring consistent contract design across all downstream integrations.</li><li>
Collaborate with platform and engineering teams to establish API lifecycle management practices including deprecation policies, schema validation, and automated compliance checks.</li><li>
Design secure API access patterns for PHI-sensitive and regulated data, incorporating encryption, scoping, and audit logging requirements.</li><li>
Partner with vendor and internal delivery teams to review, validate, and approve API designs prior to implementation, ensuring alignment with enterprise architecture standards.</li></ul>
Governance, Security &amp; Compliance<ul><li>
Define and enforce best practices for data governance, security, privacy, and compliance (HIPAA, GDPR) across structured and unstructured data.</li><li>
Ensure architectural alignment with enterprise policies for data retention, lineage, access control, and auditability.</li><li>
Participate in and lead architectural design reviews to ensure adherence to standards and patterns.</li></ul>
Collaboration &amp; Influence<ul><li>
Collaborate with business, clinical, analytics, and engineering stakeholders to translate requirements into scalable architectural solutions.</li><li>
Provide architectural guidance for cloud migrations and modernization initiatives involving document and data platforms.</li><li>
Maintain a holistic view of enterprise information assets through diagrams, reference architectures, and technical roadmaps.</li><li>
Act as a technical mentor and advisor to senior engineers and architects.</li></ul><h6 class="jobSectionHeader">
What qualifications you will need:</h6><ul><li>
Bachelor's degree in computer science, related technical field, or equivalent experience required</li><li>
Master's degree in computer science or related field preferred</li><li>
3+ years of experience in Cloud Data or Information Architect required</li><li>
5+ years of experience in Healthcare preferred</li><li>
10+ years of experience in Information Technology required</li></ul>
A successful candidate will demonstrate:<ul><li>
Deep experience designing enterprise data architectures on Google Cloud Platform or other Cloud Service Providers.</li><li>
Hands-on expertise with GCP services, including:</li><li>
BigQuery, Cloud Storage, Dataflow, Dataproc</li><li>
Pub/Sub, Cloud Run, GKE, Cloud Functions</li><li>
Bigtable, Cloud SQL, Cloud Spanner</li><li>
Strong knowledge of Lakehouse technologies and formats: Iceberg, Delta Lake, Parquet, Avro, JSON.</li><li>
Experience with document and unstructured data processing, including ingestion, enrichment, and indexing.</li><li>
Practical experience integrating LLMs and AI frameworks (e.g., Vertex AI, LangChain, embeddings, RAG patterns) into data pipelines.</li><li>
Proficiency in Python, SQL, and JVM-based languages (Java/Scala).</li><li>
Experience with CI/CD, DevOps, and infrastructure-as-code for data platforms.</li><li>
Strong understanding of data security, privacy, and regulatory requirements in cloud environments.</li><li>
Ability to analyze complex problems, modernize legacy pipelines, and design scalable solutions.</li><li>
Ability to communicate complex architectures clearly to both technical and non-technical audiences.</li></ul>
Certifications (a plus, but not required):<ul><li>
GCP Professional Data Engineer</li><li>
GCP Professional Cloud Architect</li></ul>
PHYSICAL DEMANDS/WORKING CONDITIONS (Specific statements of physical effort required and description of work environment; e.g., prolonged sitting at CRT. required travel %)
Prolonged sitting or standing at computer workstation including use of mouse, keyboard, and monitor.
Requires ability to provide after-hours support.
At HCA Healthcare, we are committed to fostering a culture of growth that allows you to build the career of a lifetime. We encourage you to apply for our Principal Data Architect today. We review all applications promptly, and qualified candidates will be contacted to continue the process. Join us!
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</div>

Principal Data Architect

Inception

<div>
 Inception, a G42 company, is the region&rsquo;s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer &ndash; transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai
 
 
 
 Overview
 
 
 
 Inception is seeking a highly skilled Lead Data Engineer to architect and build scalable, cloud-native data and AI pipelines that power enterprise LLM, RAG, and retrieval systems.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and optimize scalable data pipelines for AI/LLM workloads, including vectorization and embedding processing.
 </li>
 <li>
 Develop and maintain ETL/ELT workflows for structured, unstructured, and streaming data.
 </li>
 <li>
 Create and manage vector database indexing and similarity search pipelines using tools like FAISS, Pinecone, Weaviate, Qdrant, Chroma.
 </li>
 <li>
 Build retrieval systems for RAG, semantic search, and enterprise knowledge retrieval.
 </li>
 <li>
 Develop robust, reusable data orchestration pipelines using Airflow, Spark, or similar tools.
 </li>
 <li>
 Architect and manage data pipelines across Azure (primary), AWS, and GCP environments.
 </li>
 <li>
 Integrate and optimize storage and processing across SQL, NoSQL, and vector databases.
 </li>
 <li>
 Contribute to the design and implementation of event-driven architectures.
 </li>
 <li>
 Collaborate with AI teams to enable embedding generation, LLM integration, and model-serving pipelines.
 </li>
 <li>
 Ensure end-to-end data quality, monitoring, reliability, and observability.
 </li>
 <li>
 Lead or participate in system design for large-scale, distributed data and AI systems.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 
 Programming &amp; Data
 
 
 
 <ul>
 <li>
 Strong expertise in Python for data processing, APIs, automation, or distributed workloads.
 </li>
 <li>
 Strong proficiency in SQL and knowledge of NoSQL databases (MongoDB, DynamoDB, Cosmos DB, etc.).
 </li>
 <li>
 Experience with vector databases, such as: FAISS, Pinecone, Weaviate, Qdrant, Chroma.
 </li>
 <li>
 Strong knowledge of data modeling, pipeline development, and ETL/ELT frameworks.
 
 
 </li>
 </ul>
 
 AI/LLM Infrastructure
 
 
 
 <ul>
 <li>
 Solid understanding of vectorization, embeddings, and similarity search techniques.
 </li>
 <li>
 Familiarity with LLMs, embedding models, and RAG pipeline concepts.
 </li>
 <li>
 Experience integrating embedding-generation pipelines via Hugging Face, OpenAI, or other model providers.
 
 
 </li>
 </ul>
 
 Cloud &amp; Distributed Systems
 
 
 
 <ul>
 <li>
 Proficiency with Azure (primary), and familiarity with AWS and GCP.
 </li>
 <li>
 Experience with Docker and containerized development.
 </li>
 <li>
 Understanding of Kubernetes is a strong plus.
 
 
 </li>
 </ul>
 
 Orchestration &amp; Big Data
 
 
 
 <ul>
 <li>
 Expertise in Apache Airflow for scheduling and orchestration.
 </li>
 <li>
 Experience with Apache Spark or equivalent distributed processing frameworks.
 
 
 </li>
 </ul>
 
 Architecture &amp; Engineering Fundamentals
 
 
 
 <ul>
 <li>
 Strong system design fundamentals for scalable and distributed systems.
 </li>
 <li>
 Knowledge of event-driven architecture and modern data platforms.
 </li>
 <li>
 Strong understanding of DevOps, CI/CD, version control, and observability best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 8+ years of progressive experience in data engineering, distributed systems, or AI/ML data infrastructure
 </li>
 <li>
 Experience building RAG pipelines in production.
 </li>
 <li>
 Knowledge of graph databases or hybrid search systems.
 </li>
 <li>
 Understanding of model deployment, inference optimization, and caching techniques for LLM workloads.
 </li>
 <li>
 Familiarity with data governance, IAM, and security patterns across cloud ecosystems
 
 
 </li>
 </ul>
 What We Look For
 
 
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 
 
 What Working At Inception Offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Lead Data Engineer

<div><div><h2 class="jobSectionHeader">Position Description:</h2>
As a Lead Data Engineer, you will lead a team of data engineers and collaborate with architects, engineers, information analysts, business, and technology stakeholders to develop and deploy enterprise-grade platforms that enable data-driven solutions. You will be responsible for updating the design parameters and implementation details of robust data pipelines, optimizing data processes, ensuring data quality, security, and governance. The role requires knowledge of GCP services that include all GCP based services for GCP Dataflow, Cloud Run Functions, AlloyDB, Pub Sub streams, IAC, Big Query and Data Plex. This is an event-driven architecture processing real-time and batch data processing from legacy external systems. 
This position can be located at any CGI office in the U.S, preferred location is Fairfax,VA; however, a hybrid working model is acceptable. 
Your future duties and responsibilities: 
Lead the design, development, and maintenance of robust data pipelines using Dataflow and Cloud Run Functions that extract data from various sources, transforming it into the desired format, and loading it into appropriate landing zone of Pub/Sub, Google Storage, or AlloyDB for PostgreSQL. 
Collaborate with FAA customers, chief architect, senior engineers, information analysts, business, and technology stakeholders to develop and deploy enterprise-grade platforms that enable data-driven solutions. 
Develop and manage ETL (Extract, Transform, Load) processes using GCP Dataflow with GCP flex templates with Java language to support data transformations into XML and JSON documents, enriching them for downstream data consumers. 
Implement and manage advanced data models, including relational databases, non-relational databases, master data management, Data Plex and data governance. 
Integrate data from legacy data sources, including databases, data warehouses, APIs, and external systems using Data Flow and Cloud Run Functions. 
Ensure data consistency and integrity during the integration process, performing data validation and cleaning as needed, manage data and the quality of the data. 
Transform raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques using data flow, cloud run functions and other GCP services. 
Design and Optimize data pipelines and data processing workflows for performance, scalability, and efficiency using data flow and cloud run functions. 
Monitor and tune data systems, identify and resolve performance bottlenecks, implement performance gains and indexing strategies to enhance query performance. 
Implement data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data. 
Optimize and administer data environments and data related GCP services to ensure high performance and reliability. 
Collaborate with cross-functional teams to del 
Required qualifications to be successful in this role: 
.Minimum of 12 years of experience in data engineering, with at least 2 years of hands-on experience with Google Cloud Based services. 
At least 8 years of work experience in data solutions design, management disciplines, including data integration, modeling, optimization, and data quality, directly relevant to data engineering responsibilities and tasks. 
Project management - able to understand business needs and help the team prioritize and manage the workload effectively 
Data architect - able to provide high level guidance and oversight to the team and ensure changes are being made done in a way that ensures operational stability and long-term maintainability + operational support / understands and can direct methodologies for a 24/7 application data operation 
Strong knowledge of SQL, Python, and Java. Data Flow flex templates are used with Java to code the desired data transformations.
 
Experience with cloud platforms such as GCP, GKE, IAM, Terraform, CI/CD to deliver automated solutions and problem solver. 
Excellent problem-solving skills, including debugging skills, allowing the determination of sources of issues in unfamiliar code or systems, and the ability to recognize and solve repetitive problems. 
Strong communication skills and a proactive getting things done mindset. 
Experience working in Agile teams and familiarity with Agile methodologies, SCRUM with 2-week sprints. 
Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize data to support mission applications, insights, and reporting. 
Experience with database technologies such as SQL, NoSQL, AlloyDB Postgress. 
Ability to collaborate within and across teams of different technical knowledge to support the delivery of data products. 
Strong knowledge of data architecture in application development or reporting. 
Excellent organizational and analytical abilities. 
Good written and verbal communication skills 
Should be proficient in archit 
Desired qualifications/non-essential skills required: 
.Industry knowledge in sectors such as Government and Aviation preferred 
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $113,400.00 - $223,200.00. 
CGI Federal's benefits are offered to eligible professionals on their first day of employment to include:
 
.Competitive compensation 
.Comprehensive insurance options 
.Matching contributions through the 401(k) plan and the share purchase plan 
.Paid time off for vacation, holidays, and sick time 
.Paid parental leave 
.Learning opportunities and tuition assistance 
.Wellness and Well-being programs 
#CGIFederalJob 
#LI-RT1 
 
</div><div><h2 class="jobSectionHeader">Skills:</h2>
<ul><li>Data Architecture</li>
<li>Data Engineering</li>
<li>Project Management</li>
</ul></div><div><h2 class="jobSectionHeader">What you can expect from us:</h2>
Together, as owners, lets turn meaningful insights into action. 
 
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll reach your full potential because 
 
You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction. 
 
Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. 
 
Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
 
 
Come join our teamone of the largest IT and business consulting services firms in the world. 
 
Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business. 
 
CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at US_Employment_Compliance@cgi.com. You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned. 
 
We make it easy to translate military experience and skills! to be directed to our site that is dedicated to veterans and transitioning service members. 
 
All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances. 
 
CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGIs legal duty to furnish information.</div></div>

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Lead Data Engineer
Office hybrid in Seattle or Chicago
As a Data Engineer at Salesforce within the Data &amp; Analytics organization, you will collaborate with cross-functional teams to create and manage robust data solutions that support our analytics and business intelligence initiatives, building scalable and efficient data pipelines, optimizing data workflows, and ensuring data quality and reliability. The Customer Success Data Platform organization sits at the intersection of Automation, Analytics, and AI, pushing the boundaries of Salesforce technology as Customer 0 and providing trusted data that supports the AI + Human tandem. 
<h2 class="jobSectionHeader"> 
What You&rsquo;ll Do
</h2><ul><li><h3 class="jobSectionHeader">Architect Multi-Stage Medallion Pipelines: Design and oversee the implementation of a robust Medallion Architecture (Bronze, Silver, and Gold layers), ensuring seamless transitions from raw ingestion to highly refined, business-logic-heavy data assets.
</h3></li><li><h3 class="jobSectionHeader">Lead Semantic Layer Strategy: Own the development and governance of the Semantic Layer , defining standardized metrics and dimensions to ensure consistent interpretation of KPIs across all downstream business intelligence and reporting platforms.
</h3></li><li><h3 class="jobSectionHeader">Advanced Dimensional Modeling: Lead the transition from flat tables to sophisticated Star and Snowflake schemas. Design high-performance data models that support complex relationship mapping, historical versioning (SCD Type 2), and high-concurrency querying.
</h3></li><li><h3 class="jobSectionHeader">Engineering Identity &amp; Entity Resolution: Build and maintain scalable pipelines for identity resolution, stitching together disparate data points across the Salesforce ecosystem to create unified, governed customer and product graphs.
</h3></li><li><h3 class="jobSectionHeader">Infrastructure for Causal &amp; Attribution Modeling: Partner with Decision Scientists to engineer the specialized data structures and features required for advanced attribution and causal inference, ensuring these models are backed by high-integrity, production-ready data.
</h3></li><li><h3 class="jobSectionHeader">Data Contracts &amp; Quality Governance: Establish and enforce strict Data Contracts between upstream producers and downstream consumers. Implement automated validation frameworks to monitor data freshness, schema drift, and semantic accuracy.
</h3></li><li><h3 class="jobSectionHeader">Operational Excellence &amp; CI/CD: Drive engineering best practices by implementing rigorous CI/CD workflows for data pipelines, emphasizing automated testing, version control for SQL/Python transformations, and proactive performance tuning.
</h3></li><li><h3 class="jobSectionHeader">Cross-Functional System Design: Collaborate with Product Managers and Engineering leaders to translate complex business requirements into scalable technical architectures, prioritizing data lineage, transparency, and low-latency access to trusted metrics. 
 
</h3></li></ul>Qualifications:
<ul><li>8+ years of experience as a Data Engineer or in a similar role.
</li><li>A related technical degree required.
</li><li>Proficiency in data engineering tools and languages, such as Python, SQL, and Spark.
</li><li>Strong understanding of database concepts, data modeling, and ETL processes with tools like Airflow, dbt, Informatica, etc.
</li><li>Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud).
</li><li>Familiarity with data warehousing, SQL, NoSQL databases, and data integration techniques.
</li><li>Experience with the Salesforce Ecosystem, specifically Data Cloud.
</li><li>Problem-solving skills to troubleshoot and resolve data-related issues.
</li><li>Excellent communication skills and ability to collaborate in a cross-functional environment.
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $172,500 - $260,100 annually. &amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div>

AUGE 10X

About the jobRole OverviewWe&rsquo;re hiring an AI Workflow Architect to design and ship reliable, production-grade automations that combine LLMs + integrations + orchestration + monitoring.If you look at a manual process and think &ldquo;this should be automated yesterday&rdquo;, you&rsquo;ll fit in.What You&rsquo;ll DoArchitect and implement end-to-end AI workflows (triage, routing, enrichment, follow-ups, notifications).Integrate systems via APIs, webhooks, and databases (CRM/helpdesk, Google Workspace, messaging channels, etc.).Build robust logic: retries, fallbacks, rate limits, error handling, idempotency.Create standards for documentation, versioning, testing, and release.Set up logging/monitoring and quality checks for AI outputs (evaluations, regression checks).Collaborate with Ops/Marketing/Sales to turn real business needs into automation that runs.SkillsMust-Have SkillsProven hands-on experience building automation workflows (e.g., n8n / Make / Zapier / Pipedream / custom).Strong understanding of REST APIs, JSON, webhooks, auth (OAuth/API keys).Solid experience working with LLMs (prompting, tool/function calling, RAG when needed, guardrails).At least one of: Python / JavaScript / Google Apps Script.&ldquo;Engineering mindset&rdquo;: attention to detail, documentation, testing, reliability.Fluent English (written and spoken).Nice to HaveExperience with respond. io, Kajaibi, Freshdesk/Zendesk, HubSpot, ActiveCampaign, Google Sheets automation.Observability tools (Sentry/Datadog/ELK or similar), prompt evaluation frameworks, A/B testing.Security/privacy awareness (PII handling, access control, audit trails).What You GetHigh-impact role: what you build goes to production and removes real manual work.Real ownership, minimal bureaucracy.Direct access to leadership and fast execution.Competitive compensation based on seniority + performance bonuses tied to measurable outcomes (time saved, error reduction, automation KPIs).In case shortlisted required to submitVideo presentation (max 3 minutes) explaining:your past experiencesyour current roleyour future planswhy you want to leave your current position, if applicablewhy we should contact you for an interview2 links to AI projects developed by youJob Type: Full-timeAbility to commute/relocate:<ul><li>Ras al-Khaimah: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Application Question(s):<ul><li>This role requires hands-on involvement and a willingness to work on the ground, not just in a leadership capacity. Are you comfortable with that?</li></ul>Work Location: In person

AI Workflow Architect Team Lead

Wells Fargo

<div>About this role: 
 
Wells Fargo is seeking a Lead Systems Architect for Access Provisioning that is responsible for defining, governing, and evolving enterprise access provisioning capabilities within the Identity and Access Management (IAM) domain. This role provides architectural and technical leadership to ensure access is provisioned, modified, and removed in a secure, automated, scalable, and compliant manner across on-premises, cloud, and hybrid environments for both human and non-human identities. 
 
In this role, you will:<ul><li>
Own the end-to-end architecture for access provisioning, including joiner, mover, leaver processes, entitlement lifecycle management, and access de-provisioning.</li><li>
Define and maintain target-state and transition architectures that drive automation, least-privilege enforcement, and reduction of manual access processes.</li><li>
Establish and enforce architectural standards, patterns, and guardrails for access provisioning, entitlement modeling, and application onboarding.</li><li>
Design role-based and attribute-based access models aligned to business functions, risk tolerance, and regulatory requirements.</li><li>
Partner with security engineering, access operations, application teams, and platform owners to ensure consistent implementation of provisioning architectures.</li><li>
Guide integration of identity governance, provisioning, and authorization capabilities with authoritative systems of record and downstream target systems.</li><li>
Ensure access provisioning architectures support segregation of duties, auditability, and regulatory compliance requirements.</li><li>
Lead architecture reviews for new applications, platforms, cloud migrations, and major initiatives impacting access provisioning.</li><li>
Drive remediation strategies for access-related audit findings, control gaps, and technical debt.</li><li>
Influence IAM roadmaps and investment decisions related to provisioning, automation, and access governance.</li><li>
Serve as a technical authority and thought leader within the IAM domain for access provisioning.</li><li>
Mentor senior engineers and architects, promoting consistent architectural practices across teams.</li><li>
Collaborate with governance and policy teams to translate policy and risk requirements into implementable technical controls.</li><li>
Work closely with operations teams to ensure architectures are operationally sustainable and scalable.</li></ul>
Required Qualifications:<ul><li>
5+ years of Architecture experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education</li><li>
Deep experience designing and leading Identity and Access Management architectures, with strong focus on access provisioning and lifecycle management.</li><li>
Strong knowledge of IAM principles including least privilege, segregation of duties, entitlement governance, and identity lifecycle controls.</li><li>
Hands-on experience with enterprise IAM, identity governance, and access provisioning platforms.</li><li>
Proven ability to design large-scale, automated access solutions across on-prem, cloud, and hybrid environments.</li><li>
Strong stakeholder engagement skills with the ability to influence across security, technology, risk, and business teams.</li><li>
Excellent problem-solving, systems thinking, and written and verbal communication skills.</li></ul>
Desired Qualifications:<ul><li>
Experience with SailPoint, Active Directory and/or HashiCorp Vault</li><li>
Experience supporting regulatory, audit, and risk management activities related to access controls.</li><li>
Background in modernizing legacy access provisioning models through automation and standardized architectures.</li><li>
Ability to balance security, compliance, operational efficiency, and user experience in architectural decision-making.</li></ul>
Job Expectations:<ul><li>
This position offers a hybrid work schedule
</li><li>This position is not eligible for Visa sponsorship</li></ul>
Salary Ranges:<ul><li>
$119,000 - $187,000 - Charlotte, NC</li><li>
$119,000 - $187,000 - Chandler, AZ</li><li>
$119,000 - $187,000 - Irving, TX</li><li>
$131,000 - $206,000 - Minneapolis, MN</li></ul>
Pay Range 
 
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. 
$119,000.00 - $206,000.00 
Benefits
 
 
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.<ul><li>
Health benefits</li><li>
401(k) Plan</li><li>
Paid time off</li><li>
Disability benefits</li><li>
Life insurance, critical illness insurance, and accident insurance</li><li>
Parental leave</li><li>
Critical caregiving leave</li><li>
Discounts and savings</li><li>
Commuter benefits</li><li>
Tuition reimbursement</li><li>
Scholarships for dependent children</li><li>
Adoption reimbursement</li></ul>
Posting End Date: 
23 Apr 2026 
<ul><li>Job posting may come down early due to volume of applicants.
</li></ul> 
We Value Equal Opportunity 
 
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. 
 
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. 
 
Applicants with Disabilities 
 
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . 
 
Drug and Alcohol Policy 
 
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. 
 
Wells Fargo Recruitment and Hiring Requirements: 
 
a. Third-Party recordings are prohibited unless authorized by Wells Fargo. 
 
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.</div>

Lead Systems Architect - IAM

Starbucks

<div>Now Brewing &ndash; Lead Data Scientist, Data &amp; Analytics! #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
Are you driven to uncover meaningful insights and build data-powered solutions that shape the future of the world&rsquo;s leading coffeehouse brand?
As a Lead Data Scientist on the Digital Data Science team, you will lead the development of advanced AI/ML models powering personalization &amp; recommendations for Starbucks digital surfaces such as the mobile app, web, digital menu boards and digital drive thru screens. You will drive the evolution of existing models and apply rigorous statistical methods to help achieve 1:1 personalization at the customer level, contextual personalization based on external signals and operational personalization that aligns with our ecosystem of stores. Your work will directly impact millions of Starbucks customers and coffee occasions at scale.
The D&amp;A organization spans four key pillars: Customer, Retail Operations, Supply Chain, and Enterprise. Each domain is focused on solving unique and complex challenges through data science. Whether personalizing marketing campaigns, optimizing store operations, improving inventory flow, or unlocking enterprise-wide initiatives, our data scientists apply advanced analytics, experimentation, and modeling to elevate the Starbucks experience. This centralized recruiting approach allows us to match candidates with the most relevant opportunities based on their skills and interests, ensuring alignment with business needs and personal growth. Join a team where data meets purpose to shape what&rsquo;s next for Starbucks. 
As a lead data scientist, you will&hellip;<ul><li> 
 Lead the design and development of scalable data science solutions from the start to the finish by utilizing machine learning, and statistical analysis. Build scalable processes for cleaning, aggregating, and loading data.</li><li> Understanding business initiatives, challenges, questions, concerns, or ideas, transforming them into successful data science solutions, and monitor data science metrics and KPIs</li><li> Mentor data analysts &amp; data scientists on best practices, processes, frameworks, and KPIs</li><li> Contribute to project planning, and assist the team with estimations, timelines, and prioritization. Assists in developing the analytical roadmap, data, and technology strategy.</li><li> Own the end-to-end lifecycle of AI/ML solutions, from ideation and prototyping to production deployment, ensuring robust offline evaluation and real-time performance monitoring.</li></ul> 
We&rsquo;d love to hear from people with:<ul><li> Education: BS+ with a concentration in a quantitative discipline - Stats, Math, Comp Sci, Engineering, Econ, Quantitative Social Science or similar discipline. Master&rsquo;s and/or PhD preferred</li><li> Minimum of 8+ years of progressive experience in data science, with a proven track record of end-to-end data product and model deployment that delivers measurable business impact.</li><li> Strong foundation in machine learning and statistical techniques, including regression, classification, clustering, and causal inference</li><li> Demonstrated track record of delivering AI/ML models into production with measurable business impact, including expertise in evaluation techniques (A/B testing, lift analysis) and model governance</li><li> Strong problem-solving skills with the ability to influence leadership teams at different levels</li><li> Strong SQL, databases, and ETL / ELT skills required including cleaning and managing data.</li><li> Advanced competency and expertise in Python, R, or some combination</li><li> Experience working with distributed data processing frameworks such as Spark and Databricks, and languages such as Java, PySpark, or Scala</li><li> Strong collaboration instincts &ndash; desire &amp; ability to work with partners to achieve the best outcome for the business.</li><li> Excellent communication, presentation, and storytelling skills. The role requires effective communication with colleagues, stakeholders, and leaders from diverse backgrounds.</li><li> Proven ability to manage multiple, time-sensitive projects and competing priorities simultaneously to drive projects to completion with minimal guidance and high attention to details.</li></ul> 
Preferred skills:<ul><li> Experience building personalization and recommendation systems (e.g., collaborative filtering, content-based, or hybrid approaches) for digital platforms or mobile apps.</li><li> Familiarity with ranking algorithms, reinforcement learning, and contextual bandits for optimizing customer experiences.</li><li> Hands-on experience with model deployment in production environments, including monitoring, retraining, and performance optimization at scale.</li><li> Strong understanding of offline and online evaluation techniques for recommendation systems (e.g., precision/recall, NDCG, A/B testing).</li><li> Knowledge of feature engineering for behavioral and transactional data, and experience leveraging real-time data streams for model updates.</li></ul> 
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor&rsquo;s degree through Arizona State University&rsquo;s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.<ul><li>If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.</li></ul> 
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. 
We believe we do our best work when we're together, which is why we're onsite four days a week. 
Join us and inspire with every cup. Apply today!
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, physical or mental disability, sexual orientation, marital status, military or veteran status, gender identity and expression, genetic information, or any other factor protected by law.
We are committed to creating a diverse and welcoming workplace that includes partners with diverse backgrounds and experiences. We believe that enables us to better meet our mission and values while serving customers throughout our global communities. People of color, women, LGBTQIA+, veterans and persons with disabilities are encouraged to apply.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal state and local ordinances. Starbucks Corporation is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com.</div>

lead data scientist - Seattle, WA

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lead data scientist - Seattle, WA