data engineering manager

The Home Depot

<div><p><b>Position Purpose:</b></p><div><p>
As a Software Engineering Manager, you will contribute to the products we create while helping to grow the next generation of engineering talent. This role will support our <b>Enterprise Data Warehouse (EDW)</b> data teams, which are responsible for building and maintaining scalable data pipelines, supporting data domain analytics, and enabling downstream products such as data views and AtScale cubes.</p><p></p><p>
In addition, you will work closely with our most strategic vendors to ensure that third-party tools and applications are readily available and effectively supported for all product teams that rely on our enterprise data platforms.</p></div><p><b><br>
Key Responsibilities:</b></p><ul><li>
30% Delivery &amp; Execution:</li><li>
Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions</li><li>
Documents, reviews and ensures that all quality and change control standards are met</li><li>
Writes custom code or scripts to automate infrastructure, monitoring services, and test cases</li><li>
Works with vendors and partners for the successful implementation of critical tooling and platforms</li><li>
Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment</li><li>
Evaluates new technologies for adoption across the enterprise</li><li>
Participates in and leads review board sessions to drive consistency across the enterprise</li><li>
Fills in on product teams for engineers who are out of the office</li><li>
10% Support &amp; Enablement:</li><li>
Fields questions from engineers, product teams, or support teams</li><li>
Monitors tools and participates in conversations to encourage collaboration across product teams</li><li>
Provides application support for software running in production</li><li>
Acts as a technical escalation point for the engineers on the team</li><li>
50% People:</li><li>
Provides leadership, mentoring, and coaching to Software Engineers</li><li>
Attracts, retains, and develops top talent to build a world class Software Engineering Team</li><li>
Conducts annual and mid-year reviews by reviewing individual development plans and team feedback</li><li>
Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests</li><li>
Acts as a proponent of modern software development practices</li><li>
Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams</li><li>
Participates in and contributes to learning activities around modern software design and development core practices (communities of practice)</li><li>
10% Learning:</li><li>
Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations</li><li>
Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
Typically reports to the Software Engineer Sr. Manager, Technology Director or Sr. Director.</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
Mastery of an object oriented programming language (preferably Java)</li><li>
Must be legally permitted to work in the United States</li></ul><p><b><br>
Preferred Qualifications:</b></p><div><ul><li>
5+ years of relevant experience in data engineering, with a strong hands-on technical background.</li><li>
2+ years of experience leading and managing engineering teams.</li><li>
Bachelor&rsquo;s degree in computer science, data engineering, or a related field (or equivalent practical experience).</li><li>
Proven experience leading data engineering initiatives and managing technical teams in an enterprise environment.</li><li>
Strong expertise in cloud-based data platforms, preferably GCP / BigQuery.</li><li>
Deep knowledge of SQL, data modeling, and large-scale data processing for high-volume, enterprise-scale data environments.</li><li>
Experience supporting and operating data platforms with significant data volume and complexity.</li><li>
Experience with data orchestration tools, CI/CD pipelines, and modern ETL processes.</li><li>
Demonstrated ability to work cross-functionally and influence a wide range of stakeholders.</li><li>
Exceptional leadership, communication, and people management skills.</li><li>
Experience operating in fast-paced, enterprise-scale environments with complex systems.</li><li>
Strong problem-solving skills, attention to detail, and the ability to quickly understand complicated systems.</li></ul></div><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
5</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders</li><li>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations</li></ul></div><p></p>

Software Engineer Manager - Data Engineering, EDW (Remote)

Lakeview Loan Servicing

<div>Overview:
<div>
The Lead Data Engineer on the Nebula team plays a significant technical leadership role in shaping and scaling the data foundation that powers analytics, reporting, AI development, and operational decision-making across the organization. This role combines hands-on data engineering execution with practical team leadership, helping the organization build reliable, flexible, and production-ready data systems.</div><div></div><div><br>
The Lead Data Engineer heads a lean, high-caliber squad of data engineers, while remaining deeply hands-on in the design, development, and operation of core data systems. The role balances direct technical contribution with mentoring, coaching, coordination, and day-to-day support for the engineers on the squad.</div><div></div><div><br>
Working across ingestion, transformation, storage, modeling, orchestration, and delivery, this role partners closely with Product, Engineering, AI, Analytics, and domain Subject Matter Experts (SMEs) to translate complex business processes into scalable data platforms, pipelines, and trusted datasets.</div><div></div><div><br>
This role owns the technical direction for core data capabilities, including ETL/ELT, batch and real-time processing, OLTP and OLAP systems, BI-ready data models, and cloud-based data infrastructure in a regulated, high-stakes environment. Success requires strong architectural judgment, operational discipline, and the ability to raise the technical bar for both systems and people.</div><div></div><div><br>
This is a fully remote position that offers a competitive salary range of $220,000 to $300,000, plus an annual bonus. You'll also receive our excellent benefits package, which includes medical coverage starting on day one and a company-matched 401(k). Compensation may vary based on experience, location, and other job-related factors.</div>
Responsibilities:
<div><b><i>
Strategic Technical Leadership</i></b></div><ul><li>
Own the architecture and evolution of core data systems, including ingestion, transformation, orchestration, storage, modeling, and delivery layers</li><li>
Set technical direction for ETL/ELT, batch processing, real-time pipelines, OLTP and OLAP systems, and BI-ready data assets</li><li>
Make pragmatic architecture decisions that balance scalability, reliability, security, performance, cost, and delivery speed</li><li>
Establish engineering standards, reusable patterns, and design principles that improve quality and leverage across the data platform</li></ul><p><b><i>
Hands-On Data Engineering Delivery</i></b></p><ul><li>
Lead the design, build, rollout, and operations of greenfield data infrastructure</li><li>
Build and maintain complex data pipelines across diverse source and destination systems, including databases, APIs, files, SaaS platforms, event streams, and internal applications</li><li>
Design and optimize data models, warehouse schemas, semantic layers, and curated datasets for analytics, reporting, AI, and product use cases</li><li>
Contribute directly to critical implementation work, including writing code, code and design reviews, migrations, reliability improvements, and production issue resolution</li></ul><p><b><i>
Squad Leadership &amp; Management</i></b></p><ul><li>
Lead a lean, high-caliber squad of data engineers, spending focused time mentoring, coaching, managing, and coordinating the team</li><li>
Develop engineers through regular feedback, technical guidance, code reviews, career support, and clear expectations around quality and ownership</li><li>
Help prioritize team work, clarify scope, remove blockers, and ensure the squad delivers reliably against business and technical goals</li><li>
Contribute to hiring, onboarding, performance development, and team operating rhythms as the data engineering function grows</li></ul><p><b><i>
Cloud Platform &amp; Production Operations</i></b></p><ul><li>
Deploy, operate, and improve data pipelines, data stores, and supporting infrastructure on major cloud platforms such as AWS, GCP, or Azure</li><li>
Drive strong practices for CI/CD, infrastructure-as-code, automated testing, monitoring, alerting, and incident response</li><li>
Ensure data systems are observable, fault-tolerant, recoverable, and maintainable in production</li><li>
Identify opportunities to reduce operational toil, improve platform reliability, and manage cloud infrastructure costs effectively</li></ul><p><b><i>
Data Quality, Governance &amp; Trust</i></b></p><ul><li>
Define and enforce standards for data quality, validation, reconciliation, lineage, schema evolution, metadata, and documentation</li><li>
Establish patterns for data contracts, ownership, SLAs, and runbooks that help downstream teams trust and use data confidently</li><li>
Partner with security, compliance, and business stakeholders to support privacy, auditability, access controls, and regulated data handling</li><li>
Raise the maturity of data governance and reliability practices without slowing down pragmatic delivery</li></ul><p><b><i>
Cross-Functional Partnership</i></b></p><ul><li>
Partner closely with Product, Engineering, AI, Analytics, and business stakeholders to align data architecture with organizational priorities</li><li>
Translate ambiguous business needs and operational workflows into clear technical plans, milestones, and production-ready solutions</li><li>
Serve as a senior technical point of contact for data-heavy initiatives, communicating tradeoffs, risks, sequencing, and timelines clearly</li><li>
Enable downstream consumers, including analysts, product teams, data scientists, and operational users, through reliable and well-modeled data assets</li></ul><p><b><i>
Culture &amp; Craft</i></b></p><ul><li>
Contribute to a culture of ownership, curiosity, operational rigor, pragmatism, and engineering excellence</li><li>
Raise the bar for the team through thoughtful design, clear abstractions, strong reviews, and sound technical judgment</li><li>
Balance staff-level technical depth with practical people leadership, helping the team grow while continuing to ship high-quality systems</li></ul>
Qualifications:
<ul><li>5-8+ years of experience building and operating production-grade data pipelines, platforms, and distributed data systems</li><li>
2+ years of experience leading, mentoring, or managing data engineers in a tech lead, staff-level project lead, engineering manager, or TLM capacity</li><li>
Strong hands-on experience with industry-standard tools and platforms for ETL/ELT, orchestration, data warehousing, streaming, and BI</li><li>
Deep understanding of OLTP and OLAP systems, including the ability to design architectures that support transactional, analytical, and operational workloads</li><li>
Experience building flexible data pipelines across many source and destination types, including databases, APIs, files, queues, event streams, SaaS platforms, and internal systems</li><li>
Strong experience with both batch and real-time processing patterns, including tradeoffs in latency, reliability, cost, and operational complexity</li><li>
Experience deploying and operating cloud-based data infrastructure on AWS, GCP, or Azure</li><li>
Advanced SQL and data modeling expertise, including schema design, warehouse optimization, semantic modeling, and performance tuning</li><li>
Strong programming ability in languages commonly used in data engineering, such as Python, Java, Scala, Go, or similar</li><li>
Comfort with CI/CD, infrastructure-as-code, automated testing, observability, incident response, and production operations for data systems</li><li>
Strong architectural judgment in ambiguous environments where systems must balance speed, reliability, compliance, maintainability, and long-term leverage</li><li>
Clear communication skills with both technical and non-technical teammates, including the ability to explain tradeoffs and influence direction</li></ul><div></div><p><b><br>
Preferred Experience</b></p><ul><li>
Experience operating as a Technical Lead or Tech Lead Manager responsible for both technical implementation, technical direction, and people development</li><li>
Experience with modern orchestration and transformation tools such as Airflow, Dagster, dbt, or similar platforms</li><li>
Experience with cloud-native warehouses or lakehouse platforms such as Snowflake, BigQuery, Redshift, Databricks, or equivalent technologies</li><li>
Experience with streaming systems such as Kafka, Kinesis, Pub/Sub, Flink, Spark Streaming, or similar technologies</li><li>
Experience enabling BI and self-service analytics through curated datasets, semantic layers, and reporting platforms such as Looker, Tableau, Power BI, or similar tools</li><li>
Experience building data platforms that support AI, machine learning, decisioning, or LLM-powered workflows</li><li>
Experience scaling a data engineering function, including technical standards, operating rhythms, hiring, onboarding, and team development</li><li>
Experience in fintech, mortgage, lending, payments, insurance, or other regulated domains</li></ul><p><b><br>
A Note to Candidates</b></p><div>
You do not need prior fintech or finance experience to succeed in this role. If you are a senior data engineer with strong architectural judgment, a hands-on builder mindset, and the ability to develop other engineers, we would love to hear from you. If your background does not line up perfectly with every bullet, but this role feels like the kind of work you want to do, please apply.</div><div></div><div><i><br>
Bayview is an Equal Employment Opportunity employer</i><i>. </i><i>All aspects of consideration for employment and employment with the Company are governed </i><i>on the basis of</i><i> merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.</i></div><div></div><div><br>
#LI-Remote</div></div>

Lead Data Engineer

Optimum Solutions (S) Pte. Ltd.

<div>Dubai 2+ years Full-time Enterprise Data Modeling &amp; Architecture, Cloud Data Engineering, Leadership &amp; Strategic Data Design ODC0260</div>
<br><div><h4 class="jobSectionHeader"><b>Job Description</b></h4>
<ul><li>Analyze and translate business needs to create solution data models.</li>
<li>Evaluate current data systems.</li>
<li>Work with data analysts, data architects, engineers, and database administrators to design conceptual data models and data flows.</li>
<li>Develop standard data coding practices to ensure system-wide consistency.</li>
<li>Evaluate changes to existing systems for cross-compatibility.</li>
<li>Implement data strategies and create physical data models.</li>
<li>Update and improve local and metadata models.</li>
<li>Assess implemented data systems to identify variances, discrepancies, and efficiency gaps.</li>
<li>Troubleshoot and optimize data systems.</li>
<li>Communicate with internal or external stakeholders to provide guidance, direction, and MIS-related information.</li>
</ul><h4 class="jobSectionHeader"><b>Must Have</b></h4>
<ul><li>Strong management skills.</li>
<li>Strong analytical and problem-solving skills to effectively design data solutions.</li>
<li>High attention to detail and commitment to delivering high-quality work.</li>
<li>Excellent communication and teamwork skills to collaborate with cross-functional teams.</li>
<li>Ability to manage time effectively and prioritize tasks in a dynamic work environment.</li>
<li>Digital logic skills to clean and organize unstructured data.</li>
<li>Solid understanding of computer architecture and organization to maximize data processing efficiency.</li>
<li>Knowledge of data representation techniques for effective data gathering, manipulation, and analysis.</li>
<li>Understanding of memory architecture to balance speed, durability, reliability, and cost-effectiveness without compromising data integrity.</li>
<li>Familiarity with the Erwin data modeling tool.</li>
<li>Ability to adapt to new data modeling methodologies.</li>
<li>Proficiency in SQL and its implementation.</li>
<li>Hands-on experience with database systems, including RDBMS capable of handling large-scale data efficiently.</li>
</ul><h4 class="jobSectionHeader"><b>Qualifications</b></h4>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.</li>
<li>Demonstrated expertise in working with Databricks for data processing and analysis.</li>
<li>Experience implementing and optimizing data solutions using multiple programming languages in an Azure environment.</li>
<li>Cloud technology certifications are an added advantage.</li>
</ul><h4 class="jobSectionHeader"><b>Experience</b></h4>
<ul><li>Proven experience managing a technical team.</li>
<li>7&ndash;10 years of hands-on experience in data engineering, including developing data pipelines and managing data infrastructure in Azure.</li>
<li>Strong Python and SQL experience, with exposure to end-to-end data product deployment.</li></ul></div>

VP Data modeler – Data Office

World Market

<div><div><p><b>Why You&rsquo;ll Love World Market</b></p></div><p></p><div><p>
You won&rsquo;t find a store and team like this anywhere else! We're passionate about our mission to delight customers with a unique, ever-changing marketplace of products from around the world. Our assortment is curated with stylish home d&eacute;cor, quality furniture, thoughtful gifts, time-honored handicrafts, and international food and beverage favorites. From handpicked finds to heartfelt teamwork, World Market is where uniqueness isn&rsquo;t just celebrated&mdash;it&rsquo;s what sets us apart.</p></div><p></p><div><p>
Our team means the world to us! We value authenticity, empowerment and respect and we take pride in what we do. If you&rsquo;re looking for a collaborative, fast-moving environment where your contributions are valued, growth is supported and you can have a little fun&mdash;you&rsquo;ve found it!</p></div><p></p><div><p><b><br>
When you join our team, you&rsquo;ll enjoy:</b></p><ul><li>
Benefits that support health, financial security, and personal life needs. Learn more about benefits and eligibility for Medical, Dental, and Vision Insurance, and more!</li><li>
Paid vacation and paid sick time</li><li>
401(k) plan with Roth option and company match</li><li>
Employee Assistance Program and wellness resources to be and do your best</li><li>
Sample Sales and up to 30% shopping discount on our unique finds for you and your designated shopper</li><li>
Work life balance and work from home flexibility</li><li>
Working with a team who thinks the world of you</li></ul></div><p></p><p><b>
What You&rsquo;ll Do</b></p><p></p><div><div><p>
We're seeking a Director of Data Engineering to build and lead a new data and analytics platform from the ground up. This is a hands-on leadership role &mdash; you'll set the architecture, establish the platform, hire and develop the team, and deliver the data foundation that the rest of the business runs on. This is a rare opportunity to architect a modern data and analytics foundation that will power data-driven innovation across our organization.</p></div><p></p><div><p><br>
The platform you build will provide data that powers:</p><ul><li>
Omni-channel experiences and operations across 250+ stores and e-commerce</li><li>
Unified data platform supporting customer, personalization, loyalty, and digital marketing</li><li>
Sematic analytic layer serving merchandising, supply chain, store operations, and finance</li><li>
Modern integrations with APIs and event-driven pipelines over legacy batch file patterns</li><li>
Our AI foundation for future intelligent workflows and agentic applications</li></ul><p></p><p><b>
Core Responsibilities</b></p></div><p></p><div><p><b>
Data Platform Architecture</b></p><ul><li>
Own the Snowflake data platform: architecture, zone design (raw / curated / marts), access patterns, and cost governance</li><li>
Define dimensional data modeling standards, transformation layer, data quality monitoring</li><li>
Design and manage data ingestion from complex source systems: IBM iSeries, POS, Salesforce, OMS, Loyalty, ERP, and WMS</li><li>
Lead migration from legacy batch file ingestion to CDC, API, and event-driven patterns</li></ul></div><p></p><div><p><b>
Data Governance &amp; Quality</b></p><ul><li>
Establish data ownership, quality SLAs, cataloging, and lineage practices from scratch</li><li>
Implement access controls and data security in coordination with Cybersecurity and Legal</li><li>
Build observability and monitoring for pipeline health, data freshness, and anomaly detection</li></ul></div><p></p><div><p><b>
Engineering Leadership</b></p><ul><li>
Lead a lean team of direct reports, solution vendors, and offshore engineering resources</li><li>
Set and enforce engineering standards: CI/CD, testing, version control, documentation</li><li>
Build the team over time; define hiring roadmap, onboarding, and career development</li><li>
Establish standards and uniformity across the stack, including data quality and observability</li></ul></div></div><p></p><div><div><p><b>
Integration &amp; Enablement</b></p><ul><li>
Partner with Engineering, Enterprise Applications, and Business Insights and Analytics</li><li>
Define and deliver an analytics-ready semantic layer to enable self-service BI</li><li>
Lay the MLOps and data foundation needed to support future AI and agentic capabilities</li></ul><p><br>
</p></div></div><p>The ideal candidate will be based in or near the San Francisco Bay Area and able to travel occasionally to our Alameda, CA Home Office.</p><p></p><p><b>
Experience &amp; Skills You'll Bring</b></p><p></p><p><b>
Key Qualifications</b></p><ul><li>
10+ years leadership in data warehousing, data engineering, data architecture</li><li>
5+ years leading engineering teams; experience with offshore coordination preferred</li><li>
Prior oversight of implementing greenfield EDW and data operations on a cloud platform</li><li>
Deep experience in retail or omni-channel commerce - you understand how stores, e-commerce, merchants, and supply chains generate and consume data</li><li>
Track record delivering production data platforms in complex, legacy-adjacent environments</li><li>
Program leadership - you know how to build new and lead change while keeping the lights on</li></ul><p></p><p><b>
Technical Expertise</b></p><ul><li>
Expert understanding of data architecture, data modeling, and dimensional design</li><li>
Hands-on proficiency with pipeline engineering tools (dbt, Airflow, Fivetran,)</li><li>
Deep knowledge of cloud operations with hyperscaler platforms (Azure preferred)</li><li>
Strong SQL and Python skills and understanding of database optimization</li><li>
Experience with both batch and real-time/streaming data integration patterns</li><li>
Understanding of API design, microservices, and event-driven architectures</li><li>
Familiarity with Analytics Engineering, evolving AI strategies, and MLOps principles</li></ul><p></p><p><b>
Leadership &amp; Communication</b></p><ul><li>
Builds clarity in ambiguity &mdash; you can set direction when the roadmap isn't handed to you</li><li>
Communicates fluently with both engineers and business stakeholders</li><li>
Pragmatic: balances long-term architecture vision with near-term delivery pressures</li><li>
Manages vendors and external partners effectively alongside internal team development</li><li>
Fiscally responsible to manage budgets, optimize cloud costs, and forecast spending</li><li>
Strong people leader who can motivate and coach direct-reports and offshore teams</li><li>
Collaborative partner who builds trust with IT peers, business stakeholders, and vendors</li></ul><p>
CA Pay Range is $210,000 to $250,000 annually</p><p></p><p>
#LI-LO1</p><p>
#LI-Remote</p><p></p><div><div><div><div><p>
Full time and Part time associates are eligible to participate in the Company&rsquo;s 401(k) retirement savings plan after three (3) months of service.</p><p>
Benefits for full-time employment on the first of the month following 30 days of continuous employment include offerings for programs including Medical, Dental, Vision, Prescription Drug, Life Insurance, Flexible Spending, Commuter Benefits and Employee Assistance.</p></div></div></div></div><p></p><p>
If you need reasonable accommodations to complete the on-line application, please contact the Human Resource Department:</p><p><b>
Phone: </b>1-833-680-2399</p><p><b>
Email: </b><b>hrsupport@worldmarket.com</b></p><p>
This email address is only to request reasonable accommodation for the application process due to a medical condition. If you do not need a reasonable accommodation for such reason, please use the apply button below to complete an application and upload your resume.</p><p></p><p><br>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable laws, which depending on your location may include the Fair Credit Reporting Act, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the Los Angeles City Fair Chance Act.</p><p></p><p><i>
An Equal Opportunity Employer</i></p><p><i>
It is the policy of World Market, LLC. to recruit, hire, train, promote, transfer and compensate our associates and provide all other conditions of employment including Company sponsored events without regard to race, color, creed, religion, national origin, age, sex, gender identity, genetic information, marital status, lawful alien status, sexual orientation, physical or mental disability, citizenship status, veteran status, employment status or any other basis prohibited by applicable law.</i></p></div>

Director of Data Engineering

Datamatics Global Services Ltd

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

Tech Lead – Data Engineering & Analytics

EVA pharma

<div>
 <p>
  Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for&nbsp;Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for&nbsp;our team members.
  <br/>
 </p>
 <p>
  Job Summary:
 </p>
 <p>
  We are seeking a passionate and talented
  <strong>
   Data Engineer Senior Lead
  </strong>
  to join our dynamic team. The&nbsp;ideal candidate will contribute to our mission of enhancing human health and well-being,&nbsp;ensuring that we meet the highest standards of excellence in our industry.
  <br/>
  <br/>
  <br/>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and maintain reliable ETL/ELT pipelines that move data from multiple sources into cloud-based warehouses such as Snowflake, BigQuery, or Databricks. Ensure real-time or near-real-time data processing for analytics dashboards and operational systems. Continuously fine-tune performance to handle growing data volumes efficiently
  </li>
  <li>
   Implement automated validation checks, anomaly detection, and alerting systems to maintain high data accuracy. Ensure all pipelines comply with data privacy and security standards (e.g., GDPR, SOC 2). Maintain clear documentation and data lineage to support audits and cross-team visibility
  </li>
  <li>
   Evaluate and introduce new tools like Airflow, dbt, Kafka, or Spark to improve efficiency and scalability. Collaborate with AI/ML teams to enable deployment and integration of advanced models
  </li>
  <li>
   Develop best practices for data modeling, storage optimization, and version control. Align data structures with key business metrics and analytics use cases to ensure consistency across departments
  </li>
  <li>
   Conduct design reviews, ensure high-quality code, and promote a collaborative culture focused on innovation and continuous improvement. Also, Mentor and coach data engineers to enhance their technical skills and improve project execution
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Data Science, Computer Science, Statistics, or a related field
  </li>
  <li>
   7-10 years of experience in data engineering or related fields, with at least 2 years in a leadership role
  </li>
  <li>
   Proven ability to design, build, and optimize scalable ETL/ELT pipelines and data workflows for analytics and operational use
  </li>
  <li>
   Strong skills in SQL and Python, with hands-on experience in cloud-based data platforms and distributed systems
  </li>
  <li>
   Deep understanding of data modeling, data warehousing, orchestration tools (e.g., Airflow, Prefect), and big data technologies such as Spark and Databricks
  </li>
  <li>
   Solid grasp of data governance, privacy, and security best practices, combined with strong problem-solving, architectural design, and cross-functional collaboration abilities
  </li>
 </ul>
</div>


Senior Data Engineer Lead

ACTION International Services LLC

<div>
 <strong>
  General Description
  <br/>
  <br/>
 </strong>
 This role supports engineering activities across projects and operations. The Junior Engineer assists in planning, executing, and monitoring technical tasks under supervision. This role requires foundational engineering knowledge, the ability to follow established procedures, and effective coordination with senior team members to ensure timely and accurate delivery of assigned work.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 Execute all operational works on multiple project sites simultaneously from handover through to project closure, including mobilization, procurement, installation, commissioning, monitoring, and demobilization.
 <br/>
 <br/>
 Plan and execute all activities in accordance with the Method Statement, contracted scope, best practices, and client obligations. Report any variances to the Line Manager prior to execution.
 <br/>
 <br/>
 Assist in preparing engineering plans, drawings, and technical documentation.
 <br/>
 <br/>
 Maintain project files, records, and engineering data.
 <br/>
 <br/>
 Operate basic engineering tools, software, and equipment as directed.
 <br/>
 <br/>
 Handle routine site inspections, data collection, and reporting.
 <br/>
 <br/>
 Support senior engineers in project coordination and problem-solving activities.
 <br/>
 <br/>
 Establish and maintain effective communication with team members and stakeholders.
 <br/>
 <br/>
 Deliver reports as required by the project or direct line manager.
 <br/>
 <br/>
 Collaborate with cross-functional teams to achieve project milestones.
 <br/>
 <br/>
 Conduct any other tasks or projects assigned by the direct line manager.
 <br/>
 <br/>
 <strong>
  Qhse
  <br/>
  <br/>
 </strong>
 Understand and adhere to the Company&rsquo;s QHSE policies and procedures.
 <br/>
 <br/>
 Promote safety targets and zero tolerance for unsafe practices or conditions.
 <br/>
 <br/>
 Decline requests to perform unsafe work and immediately report potential hazards to the Safety Officer.
 <br/>
 <br/>
 Review relevant project specifications before work commences and monitor all activities to ensure quality and accuracy as per company standards.
 <br/>
 <br/>
 Notify the Line Manager of any defects, errors, or variations identified.
 <br/>
 <br/>
 Ensure completion of all applicable quality checklists.
 <br/>
 <br/>
 Set direction and objectives for team members and ensure the achievement of their development plans.
 <br/>
 <br/>
 <strong>
  Cross-Functional Support / Training
  <br/>
  <br/>
 </strong>
 Collaborate with internal project stakeholders to resolve contract, documentation, and execution risks.
 <br/>
 <br/>
 Identify problems and opportunities, escalating critical issues to the Line Manager.
 <br/>
 <br/>
 Assist the Line Manager in preparing a six-month rolling manpower plan and justify resource requirements.
 <br/>
 <br/>
 Ensure timely submission of all necessary data, records, and reports for monthly project billing.
 <br/>
 <br/>
 <strong>
  Qualification Requirements
  <br/>
  <br/>
 </strong>
 Bachelor&rsquo;s degree in engineering (Mechanical, Electrical, Civil, or related discipline).
 <br/>
 <br/>
 An additional diploma or certification in a relevant technical field is an asset.
 <br/>
 <br/>
 Certified in basic safety and engineering compliance standards (as applicable).
 <br/>
 <br/>
 Proven experience of 0&ndash;2 years; internship or trainee experience is preferred.
 <br/>
 <br/>
 Working knowledge of engineering principles, drawings, and basic project workflows.
 <br/>
 <br/>
 Basic skills in engineering software such as AutoCAD, MS Project, or equivalent.
 <br/>
 <br/>
 Valid driving license.
 <br/>
 <br/>
 The travel percentage mandated for this role is 20%.
 <br/>
 <br/>
 Good computer proficiency and ability to deliver reports.
 <br/>
 <br/>
 Good ability to work within a team to achieve results.
 <br/>
 <br/>
 Ability to work under pressure and work flexible hours to meet deadlines.
 <br/>
 <br/>
 Good verbal and written communication skills in English.
 <br/>
 <br/>
 Ability to work independently on assigned tasks and complete them on time.
</div>


Junior Engineer

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