big data solutions architect

ITC Worldwide

<div>
 <strong>
  Remote | part-time 20+ hours per week
  <br/>
  <br/>
 </strong>
 <strong>
  Flex: Work Hours: (0800 GMT - 2359 GMT)
  <br/>
  <br/>
 </strong>
 We are seeking a highly skilled
 <strong>
  Dataverse Architect
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  You Will:
  <br/>
  <br/>
 </strong>
 <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)
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Need:
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 If you build scalable, modern, data-driven business applications, wed love to meet you.
</div>


Data Solution Architect – Dataverse Developer

PROZ TECHNOLOGIES

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

Data & Analytics Architect

Micron Technology

<div><p><b>Our vision is to transform how the world uses information to enrich life for </b><b><i>all</i></b><b>.
</b></p><p>Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.</p><p></p><p>
As a member of the Enterprise Product leadership team this role will be involved in a fast-paced, agile environment, closely partnered with business and IT team members!</p><p></p><p><b>
Responsibilities:</b></p><ul><li><p>
Work with the PLM and Enterprise Product solution leadership team, to define strategy and roadmaps.</p></li><li><p>
Define software standards across the Teamcenter PLM solutions, and develop close partnership and collaboration with business team members.</p></li><li><p>
Work alongside external IT teams and come up with solution architecture collaboration/alignment across several project teams.</p></li><li><p>
Deliver designs, mock-ups, and software solutions based on the Siemens PLM Teamcenter (Tc) application.</p></li><li><p>
Design, implement, and support PLM solutions involving multiple Bill of Materials (BOM) types (e.g., BOI, BOP, BOE), ensuring alignment with complex business and manufacturing requirements.</p></li><li><p>
Lead and support data migration, system cutover, and launch activities for large Teamcenter implementations, coordinating closely with multi-functional IT and business teams.</p></li></ul><p></p><p><b>
Minimum Qualifications:</b></p><ul><li><p>
Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field, with 5+ years of demonstrated experience in an IT Solution Architect role focused on PLM solutions.</p></li><li><p>
Hands-on experience delivering at least three medium to large Siemens Teamcenter implementations, with responsibility across design, configuration, and deployment phases.</p></li><li><p>
Strong expertise in Bill of Materials (BOM) concepts, structures, and standard BOM methodologies, with the ability to apply this knowledge across sophisticated enterprise PLM use cases.</p></li><li><p>
Experience with Teamcenter Change Management, including change objects, workflows, approvals, and governance, with the ability to assess and manage impacts to downstream systems (e.g., ERP, MES, integrations, and reporting).</p></li><li><p>
Proven experience partnering closely with business customers to understand requirements, architect scalable solutions, and clearly present solution designs and trade-offs to both technical and non-technical audiences.</p></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li><p>
Solid understanding of Teamcenter configuration using BMIDE and experience implementing and supporting Active Workspace based solutions.</p></li><li><p>
Hands-on experience with Teamcenter customization and extension, including ITK (C/C++), SOA services, and Active Workspace (AWC) customization.</p></li><li><p>
Experience integrating Teamcenter with ERP systems, such as SAP, using T4S and/or T4EA frameworks.</p></li><li><p>
Experience integrating Teamcenter with CAD authoring tools, such as SolidWorks, Cadence, or Mentor, to support end‑to‑end product data flow.</p></li><li><p>
Understanding of Semiconductor Product Lifecycle Management (SLCM), including how PLM capabilities support semiconductor manufacturing and engineering processes.</p></li></ul><p></p><p>
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.</p><p></p><p>
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.</p><p></p><p><br>
To learn more about Micron, please visit<b> </b><b>micron.com/careers</b></p><p></p><p>
For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron&rsquo;s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)</p><p></p><p>
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.</p><p></p><p>
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.</p><p></p><p>
AI alert<b>:</b> Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
</p><p></p><p>Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.</p></div><p></p>
<br><div></div><div><div><div><div><div>Micron Foundation
</div><br>
Strong communities and education are vital to the success of both society and innovative companies. Every Micron site understands the complex needs of their local community. Whether it&rsquo;s through strategic giving, sponsorships or deploying team member volunteers, we are making a difference.<br>
<div>Sustainability</div><br>
Micron is committed to sustainable practices and supporting our global community. We are building and maintaining sustainable operations, products, and communities while focusing on opportunities and risks that are most important to our business success and stakeholders.</div></div></div></div><div></div>

IT Solution Architect - PLM & Master Data

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
AWS Specialist Solutions Architects (SSAs) are technologists with expert level domain-specific knowledge. They can solve our customer&rsquo;s most complex problems and scale their knowledge throughout our global sales organization. Most importantly, they form the bridge between our customers and product teams, bringing first hand customer experience into our product roadmaps and feature development plans.<br>
<br>
Key job responsibilities<br>
We are looking for a strong Solutions Architect with deep expertise in agentic AI systems to enable new capabilities for our customers deploying Agentic AI workloads on AWS. This is not a traditional GenAI role&mdash;you will own the GTM strategy for the next wave of agent capabilities where AI moves from answering questions to taking action: persistent memory, dynamic user profiles and personalization, research agents, agentic AI evaluation, and responsible AI guardrails&mdash;capabilities that move agents from demos to enterprise-grade production systems. We are looking for someone who has built and shipped production-ready agentic AI systems, not just prototypes, and understands the hard architectural choices required to close the gap between demo and deployment at scale. You will interact with customers directly to understand their hardest business problems, help them architect and implement scalable agentic solutions (often via proof-of-concepts), and feed those field insights back to shape the product features that developers will build on. Working with account teams, research scientists, and product teams, you'll drive agent implementations, define new solution patterns, and create new solutions.<br>
<br>
We are part of the Worldwide Specialist Organization at AWS, a team of customer-obsessed architects and technical business leaders. We work backwards from our customer's most business-critical problems to build global go-to-market plans and scale innovations across industries and domains.<br>
<br>
About the team<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
Why AWS?<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
Inclusive Team Culture<br>
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>10+ years of IT development or implementation/consulting in the software or Internet industries experience</li><li>8+ years of specific technology domain areas (e.g. AI/ML, software development, cloud computing, data &amp; analytics, systems engineering) experience</li><li>1+ years of design, implementation, or consulting in agentic AI, multi-agent systems, or LLM-based application architectures experience</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience building, deploying or supporting production-ready AI systems with persistent memory, user personalization, or agent orchestration at enterprise scale</li><li>Experience with responsible AI frameworks, guardrail architectures, and safety patterns for agent systems operating in regulated industries (e.g. financial services, healthcare, energy, public sector)</li><li>Experience designing and operationalizing evaluation frameworks for AI systems&mdash;including benchmark design, human-in-the-loop assessment, and production monitoring</li><li>Experience building and deploying production-ready AI systems with persistent memory, user personalization, or agent orchestration at enterprise scale</li><li>Hands-on experience with foundation models, agent frameworks, tool-use patterns, retrieval-augmented generation, and evaluation methodologies for agentic AI systems</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually<br>
USA, CA, Sunnyvale - 176,600.00 - 239,000.00 USD annually<br>
USA, DC, Washington Dc - 153,600.00 - 207,800.00 USD annually<br>
USA, NY, New York - 169,000.00 - 228,600.00 USD annually<br>
USA, TX, Austin - 153,600.00 - 207,800.00 USD annually<br>
USA, TX, Houston - 153,600.00 - 207,800.00 USD annually<br>
USA, WA, Bellevue - 153,600.00 - 207,800.00 USD annually<br>
USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually</div><p></p>

Worldwide Specialist Solutions Architect - AgenticAI, Data & AI GTM

Lincoln Financial Group

<p></p><div><p><b>Date: </b>Mar 18, 2026
</p><p><b>Primary Location:</b> Radnor, PA, US
</p><p><b>Company: </b>Lincoln Financial
</p><div><div><b>Alternate Locations:</b> Radnor, PA (Pennsylvania); Charlotte, NC (North Carolina); Fort Wayne, IN (Indiana); Greensboro, NC (North Carolina); Hartford, CT (Connecticut); Omaha, NE (Nebraska)</div><br>
<div></div>
<div><b>
Work Arrangement:</b></div>
<div>
Hybrid : Employee will work 3 days a week in a Lincoln office</div><br>
<div></div>
<div><b>
Relocation assistance:</b> is not available for this opportunity.</div><br>
<div></div>
<div><b>
Requisition #:</b> 75887</div><div></div><div><div><div><div><b><br>
The Role at a Glance</b></div>
</div><div><div>
This role serves as a centralized, business-embedded Data Engineer supporting the Actuarial organization. While residing within the business, this position acts as a technical leader and Dataiku subject matter expert, providing business-level guidance, design review, best practices, and federated team support. The role also functions as an IT liaison, assisting with initial issue triage, technical translation, and follow‑through with IT partners.</div></div></div><div><div><div><b>
What you'll be doing</b></div>
</div><div><div><b>
Central Data Engineering Expertise</b><br>
<ul><li>Serve as the primary technical resource for Dataiku initiatives across multiple actuarial and business teams.</li><li>Support citizen developers by advising on scalable and consistent data sourcing, transformation (ETL), and workflow orchestration practices.</li><li>Develop and maintain reusable components, templates, standards, and best practices for data engineering and Dataiku usage.</li><li>Design, build, and deploy Dataiku-based web applications that surface analytical outputs and workflows to business end users.</li><li>Implement and integrate embedded AI and generative AI capabilities within Dataiku, including LLM-powered features, AI Services, and Prompt Studios as the platform evolves.</li><li>Evaluate and adopt emerging Dataiku features and capabilities, serving as the internal subject matter expert on platform advancement.</li></ul></div><br>
<div></div>
<div><b>
Technical Design &amp; Governance</b><br>
<ul><li>Conduct upfront design and approach reviews for Dataiku workflows and data pipelines.</li><li>Provide architectural recommendations, ensuring solutions follow sound data management, quality, and governance principles.</li><li>Perform process and code reviews to drive consistency, reliability, and maintainability across federated teams.</li></ul></div><br>
<div></div>
<div><b>
Business&ndash;IT Liaison</b><br>
<ul><li>Act as a first line of defense for technical issues within the actuarial department.</li><li>Translate business needs into technical requirements for IT partners.</li><li>Facilitate issue resolution, escalate appropriately, and monitor follow‑ups to ensure timely and accurate outcomes.</li></ul></div><br>
<div></div>
<div><b>
Automation &amp; Solution Delivery</b><br>
<ul><li>Partner with business teams to convert manual processes into automated, governed workflows.</li><li>Demonstrate new capabilities, conduct proof‑of‑concept work, and help teams understand appropriate tool usage.</li><li>Support continuous improvement efforts across financial reporting, reserve analytics, data preparation, and other actuarial processes.</li></ul></div><br>
<div></div>
<div><b>
Documentation &amp; Knowledge Management</b><br>
<ul><li>Author and maintain documentation for standards, reusable patterns, and production processes.</li><li>Ensure all changes adhere to proper governance and change management procedures.</li></ul></div></div></div><div><div><div><b>
What we&rsquo;re looking for</b></div>
</div><div><div><b><i>
Must‑haves:</i></b></div><div><br>
<ul><li>Undergraduate degree in Computer Science, Data Science, Data Analytics, other quantitative major or equivalent work experience</li><li>5&ndash;7+ years of experience in data engineering, actuarial data work, analytics engineering, or similar roles.</li><li>Strong communication and interpersonal skills, with the ability to influence and mentor non‑technical partners.</li><li>Strong understanding of ETL/ELT concepts, data architecture principles, and data quality best practices.</li><li>Hands‑on experience with Dataiku, including advanced capabilities</li></ul></div><br>
<div></div>
<div><b><i>
Nice‑to‑haves:</i></b></div><div><br>
<ul><li>FSA or ASA designation, or significant actuarial domain experience.</li><li>Experience building or deploying Dataiku web apps, implementing Dataiku change control practices and embedded AI capabilities as required</li><li>Experience with modern data technologies such as Python, SQL, Spark, AWS, Hive, Tableau, or similar.</li><li>Proven ability to learn new tools quickly, work independently, and lead through ambiguity.</li><li>Innovative, self‑starting mindset with strong problem‑solving skills.</li></ul></div></div></div><div><div><div>
Application Deadline</div>
</div><div><div>
Applications for this position will be accepted through May 18th, 2026 subject to earlier closure due to applicant volume.</div></div></div></div><br>
<div></div>
<div><b>
What&rsquo;s it like to work here?</b></div>
<div>
At Lincoln Financial, we love what we do. We make meaningful contributions each and every day to empower our customers to take charge of their lives. Working alongside dedicated and talented colleagues, we build fulfilling careers and stronger communities through a company that values our unique perspectives, insights and contributions and invests in programs that empower each of us to take charge of our own future.</div><br>
<div></div>
<div><b>
What&rsquo;s in it for you:</b></div>
<ul>
<li><div>Clearly defined career tracks and job levels, along with associated behaviors for each of Lincoln's core values and leadership attributes</div>
</li>
<li><div>Leadership development and virtual training opportunities</div>
</li>
<li><div>PTO/parental leave</div>
</li>
<li><div>Competitive 401K and employee benefits</div>
</li>
<li><div>Free financial counseling, health coaching and employee assistance program</div>
</li>
<li><div>Tuition assistance program</div>
</li>
<li><div>Work arrangements that work for you</div>
</li>
<li><div>Effective productivity/technology tools and training</div></li></ul><br>
<div>
</div><div>The pay range for this position is $96,900 - $176,200 with <b>anticipated pay for new hires between the minimum and midpoint of the range</b> and could vary above and below the listed range as permitted by applicable law. Pay is based on non-discriminatory factors including but not limited to work experience, education, location, licensure requirements, proficiency and qualifications required for the role. The base pay is just one component of Lincoln&rsquo;s total rewards package for employees. In addition, the role may be eligible for the Annual Incentive Program, which is discretionary and based on the performance of the company, business unit and individual. Other rewards may include long-term incentives, sales incentives and Lincoln&rsquo;s standard benefits package.</div><br>
<div></div>
<div><b>
About The Company</b></div>
<div>
Lincoln Financial (NYSE: LNC) helps people to confidently plan for their version of a successful future. We focus on identifying a clear path to financial security, with products including annuities, life insurance, group protection, and retirement plan services.</div><br>
<div></div>
<div>
With our 120-year track record of expertise and integrity, millions of customers trust our solutions and service to help put their goals in reach.</div><br>
<div></div>
<div>
Lincoln Financial Distributors, a broker-dealer, is the wholesale distribution organization of Lincoln Financial. Lincoln Financial is the marketing name for Lincoln Financial Corporation and its affiliates including The Lincoln National Life Insurance Company, Fort Wayne, IN, and Lincoln Life &amp; Annuity Company of New York, Syracuse, NY. Lincoln Financial affiliates, their distributors, and their respective employees, representatives and/or insurance agents do not provide tax, accounting or legal advice.</div><br>
<div></div>
<div>
Lincoln is committed to creating an inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.</div><br>
<div></div>
<div>
Follow us on Facebook, X, LinkedIn, Instagram, and YouTube. For the latest company news, visit our newsroom.</div><br>
<div></div>
<div><b>
Be Aware of Fraudulent Recruiting Activities</b></div>
<div>
If you are interested in a career at Lincoln, we encourage you to review our current openings and apply on our website. Lincoln values the privacy and security of every applicant and urges all applicants to diligently protect their sensitive personal information from scams targeting job seekers. These scams can take many forms including fake employment applications, bogus interviews and falsified offer letters.</div><br>
<div></div>
<div>
Lincoln will not ask applicants to provide their social security numbers, date of birth, bank account information or other sensitive information in job applications. Additionally, our recruiters do not communicate with applicants through free e-mail accounts (Gmail, Yahoo, Hotmail) or conduct interviews utilizing video chat rooms. We will never ask applicants to provide payment during the hiring process or extend an offer without conducting a phone, live video or in-person interview. Please contact Lincoln's fraud team at fraudhotline@lfg.com if you encounter a recruiter or see a job opportunity that seems suspicious.</div><br>
<div></div>
<div><b>
Additional Information</b></div>
<div>
This position may be subject to Lincoln&rsquo;s Political Contribution Policy. An offer of employment may be contingent upon disclosing to Lincoln the details of certain political contributions. Lincoln may decline to extend an offer or terminate employment for this role if it determines political contributions made could have an adverse impact on Lincoln&rsquo;s current or future business interests, misrepresentations were made, or for failure to fully disclose applicable political contributions and or fundraising activities.</div><br>
<div></div>
<div>
Any unsolicited resumes or candidate profiles submitted through our web site or to personal e-mail accounts of employees of Lincoln Financial are considered property of Lincoln Financial and are not subject to payment of agency fees.</div><br>
<div></div>
<div>
Lincoln Financial (&quot;Lincoln&quot; or &quot;the Company&quot;) is an Equal Opportunity employer and, as such, is committed in policy and practice to recruit, hire, compensate, train and promote, in all job classifications, without regard to race, color, religion, sex, age, national origin or disability. Opportunities throughout Lincoln are available to employees and applicants are evaluated on the basis of job qualifications. If you are a person with a disability that impedes your ability to express your interest for a position through our online application process, or require TTY/TDD assistance, contact us by calling 260-455-2558.</div></div></div><p></p>

Actuarial Data Engineer - Centralized Data Solutions

geidea

<div>
 <p>
  Established in 2008,
  <strong>
   Geidea
  </strong>
  epitomizes customer focused empowerment and commercial success through continuous innovation.
 </p>
 <p>
  <strong>
   Geidea
  </strong>
  makes best in class digital payment solutions available for all by attracting and leveraging the best creative &amp; entrepreneurial talent in the market
 </p>
 <p>
  Our solutions give any business the chance to get ahead and reach for more no matter their size or maturity.
 </p>
 <p>
  Our technology mirrors our people - Smart, Innovative &amp; Forward Thinking
 </p>
 <p>
  www.geidea.net
 </p>
 <p>
  <br/>
 </p>
 <p>
  To maintain a competitive advantage as we grow, we are currently looking for a new " Date Architect Senior Manager".
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job purpose:
  </strong>
 </p>
 <p>
  A highly skilled Data Architect to design and lead the development of scalable, secure, and high-performance data platforms across the enterprise. This role is central to shaping the data ecosystem supporting our Fintech services&mdash;including real-time financial transactions, credit scoring models, regulatory reporting, and customer analytics.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Data Architect will work across engineering, analytics, and product teams to build modern data infrastructure incorporating Big Data platforms, data lakes, ELT/ETL pipelines, and data warehouses. Your solutions must ensure high availability, governance, security, and performance&mdash;compliant with SAMA and other regulatory frameworks.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Data Architecture Design:
   </strong>
  </li>
  <li>
   Lead the end-to-end architecture of enterprise data platforms including Data Lakes, Lakehouse, and Data Warehouses.
  </li>
  <li>
   Design and maintain canonical data models (conceptual, logical, and physical) for structured, semi-structured (JSON, XML), and unstructured data.
  </li>
  <li>
   Develop architectural blueprints for hybrid and cloud-native solutions leveraging AWS, Azure, or GCP.
  </li>
  <li>
   Standardize data ingestion, transformation, and serving layers for streaming and batch use cases.
  </li>
  <li>
   <strong>
    Big Data &amp; Distributed Systems Engineering:
   </strong>
  </li>
  <li>
   Architect Big Data processing solutions using Apache Spark, Flink, Presto, Trino, or Databricks for large-scale processing of financial and behavioral data.
  </li>
  <li>
   Implement distributed file systems (e.g., HDFS, S3, ADLS) and optimize file formats like Parquet, ORC, and Avro.
  </li>
  <li>
   Ensure scalable compute using EMR, Dataproc, or AKS/Kubernetes-based platforms.
  </li>
  <li>
   <strong>
    Data Lakes and Lakehouse Architecture:
   </strong>
  </li>
  <li>
   Design and operationalize data lakes as central repositories for raw and curated data assets.
  </li>
  <li>
   Build Delta Lake, Apache Hudi, or Iceberg-based architectures to support ACID transactions, schema evolution, and time travel.
  </li>
  <li>
   Define governance standards across raw, staged, curated, and analytics layers of the lake architecture.
  </li>
  <li>
   <strong>
    ELT/ETL Frameworks &amp; Pipelines:
   </strong>
  </li>
  <li>
   Develop robust ELT/ETL pipelines using tools like Apache Airflow, DBT, AWS Glue, Azure Data Factory, or Kafka Connect.
  </li>
  <li>
   Optimize data transformations for performance, reusability, and modular design (e.g., using SQL/Scala/Python).
  </li>
  <li>
   Ensure orchestration of dependencies, retries, alerting, and logging in a fully observable pipeline ecosystem.
  </li>
  <li>
   <strong>
    Data Warehousing &amp; BI Integration:
   </strong>
  </li>
  <li>
   Architect cloud-based data warehouses such as Snowflake, BigQuery, Redshift, or Synapse Analytics.
  </li>
  <li>
   Define dimensional models (Star, Snowflake), facts/dimensions, and materialized views optimized for analytics and dashboarding tools (e.g., Power BI, Tableau, Looker).
  </li>
  <li>
   Enable self-service analytics by integrating semantic layers, metadata management, and data cataloging tools.
  </li>
  <li>
   <strong>
    Security, Governance &amp; Compliance:
   </strong>
  </li>
  <li>
   Implement data encryption (at-rest/in-transit), tokenization, and row/column-level security mechanisms.
  </li>
  <li>
   Define and enforce data governance policies, including data lineage, classification, and auditing aligned with SAMA, NCA, GDPR, and internal policies.
  </li>
  <li>
   Integrate with data catalogs (e.g., Alation, DataHub, Apache Atlas) and governance tools.
  </li>
  <li>
   <strong>
    DevOps &amp; Observability:
   </strong>
  </li>
  <li>
   Support CI/CD for data pipelines and infrastructure as code using Terraform, CloudFormation, or Pulumi.
  </li>
 </ul>
 <p>
  Implement observability practices via data quality checks, SLAs/SLIs, and monitoring tools like Prometheus, Grafana, or Datadog.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Engineering, or a related technical field.
  </li>
  <li>
   <strong>
    8+ years of experience
   </strong>
   in data architecture, with significant contributions to production-grade data systems.
  </li>
  <li>
   Proven track record in designing and deploying
   <strong>
    petabyte-scale data infrastructure
   </strong>
   in
   <strong>
    Fintech
   </strong>
   ,
   <strong>
    Banking
   </strong>
   , or
   <strong>
    RegTech
   </strong>
   environments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Our values guide how we think and act - They describe what we care about the most
  </strong>
 </p>
 <p>
  <strong>
   C
  </strong>
  ustomer first - It&rsquo;s embedded in our design thinking and customer service approach
 </p>
 <p>
  <strong>
   O
  </strong>
  pen - Openness allows us to constantly improve and evolve
 </p>
 <p>
  <strong>
   R
  </strong>
  eal - No jargon and no excuses!
 </p>
 <p>
  <strong>
   B
  </strong>
  old - Constantly challenging ourselves and our way of thinking.
 </p>
 <p>
  <strong>
   R
  </strong>
  esilient &ndash; If we fail, we bounce back stronger than before.
 </p>
 <p>
  <strong>
   C
  </strong>
  ollaborative - We know that we can achieve a lot more as a team.
 </p>
 <p>
  We are changing lives by constantly striving for a better solution.
 </p>
 <p>
 </p>
</div>


Data Architect Senior Manager

Valleysoft

<div><p>Valleysoft | Center of Excellence is a regional IT services provider based in Egypt, serving clients globally since 2006. The company collaborates with global partners like Amazon Web Services (AWS) to offer comprehensive solutions that address diverse business and technical challenges. Valleysoft's commitment to excellence ensures that clients receive high-quality, innovative, and cost-effective services, leveraging the power of cloud technologies.</p><p>
Valleysoft is seeking a highly-skilled Lead Data Engineer specializing in AWS to join our team. In this role, you will lead the design and implementation of cutting-edge data solutions, unlocking the potential of big data and machine learning for our clients. You will drive data strategy, manage data architecture, and oversee a talented team of data engineers. If you are passionate about cloud-based data engineering and want to make an impact in a fast-paced environment, we want to hear from you!</p><b><br>
Requirements</b><br>
<p></p><ul><li><ul><li>
Lead design and implementation of batch and real-time data pipelines on AWS</li><li>
Architect and implement ETL/ELT solutions using AWS Glue, Spark on EMR, and other AWS-native services</li><li>
Lead workflow orchestration using Apache Airflow (MWAA)</li><li>
Architect serverless data processing solutions with AWS Lambda</li><li>
Design enterprise-grade data warehousing solutions using Amazon Redshift</li><li>
Develop and enforce data storage strategies using Amazon S3 and DynamoDB</li><li>
Implement and govern data cataloging, governance, and access control using AWS DataZone</li><li>
Establish monitoring, logging, and observability using Amazon CloudWatch</li><li>
Drive performance optimization, scalability, and cost efficiency</li><li>
Troubleshoot complex data processing and infrastructure issues</li><li>
Collaborate with cross-functional teams including Analytics, BI, Data Science, and Business teams</li><li>
Provide technical leadership, conduct code reviews, and mentor junior engineers</li><li>
Ensure adherence to security, compliance, and data governance standards</li><li>
Participate in architecture discussions and contribute to long-term data strategy</li></ul></li></ul><p><br>
Required Skills &amp; Experience</p><ul><li><ul><li>
10&ndash;12 years of experience in Data Engineering or related roles</li><li>
5+ years of hands-on experience designing enterprise-grade AWS solutions</li><li>
Expertise with: AWS Glue, Amazon EMR (Spark), AWS Lambda, Apache Airflow (MWAA), Amazon EC2, Amazon CloudWatch, Amazon Redshift, Amazon DynamoDB, AWS DataZone, Amazon S3</li><li>
Strong programming skills in Python</li><li>
Advanced SQL skills with performance tuning expertise</li><li>
Strong understanding of data warehousing, data modeling (Star/Snowflake), ETL/ELT best practices</li><li>
Experience designing scalable, distributed data processing systems</li><li>
Proven experience in leading teams, mentoring engineers, and making architectural decisions</li><li>
Experience working in Agile/Scrum delivery environments</li></ul></li></ul><p><br>
Nice to Have.</p><ul><li>
AWS Professional Certification (Solutions Architect / Data Analytics Specialty).</li><li>
Experience with real-time streaming (Kinesis, Kafka).</li><li>
Exposure to metadata management, data lineage, and governance tools.</li><li>
Expertise in cost optimization strategies in AWS.</li><li>
Experience working with large-scale enterprise data platforms.</li></ul><br>
<b>
Benefits</b><br>
<ul><li>
Private Health Insurance</li><li>
Training &amp; Development</li></ul></div>

Lead Data Engineer - AWS

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