senior data architect

Cargomatic

<div><p>Senior Data Architect &ndash; Data Engineering</p>
<p>
Location: San Francisco, CA<br>
Reports To: VP of Engineering<br>
FLSA Status: Exempt<br>
Employment Type: Full-Time<br>
Compensation: $140,000 &ndash; $160,000 annually (based on experience)</p>
<p>
About Cargomatic</p>
<p>
Cargomatic is transforming the local trucking industry with cutting-edge technology that connects shippers and carriers in real time. Every product that humans build, grow, or sell has spent time on a truck. Local trucking is the lifeblood of every regional economy, yet this $82 billion industry still relies heavily on outdated systems. Cargomatic is bringing transparency, efficiency, and intelligence to local freight through modern technology and data-driven solutions.</p>
<p>
We are solving complex, real-world logistics problems every day. If you thrive in a fast-paced environment, enjoy building scalable systems, and want to help shape the future of AI-powered logistics, we'd love to meet you.</p>
<p>
Position Summary</p>
<p>
Cargomatic is seeking a Senior Data Architect &ndash; Data Engineering to design and build scalable, cloud-native data infrastructure that powers analytics, machine learning, and AI-driven applications. This role combines deep data architecture expertise with hands-on experience in modern data platforms and LLM-enabled application development.</p>
<p>
You will lead the design of enterprise-grade data models, architect RAG systems, implement agentic workflows, and integrate secure, production-ready LLM capabilities into our ecosystem. This is a high-impact role with significant ownership, visibility, and opportunity to shape the future of intelligent logistics technology.</p>
<p>
Key Responsibilities</p>
<p>
Data Architecture &amp; Engineering</p>
<ul>
<li><p>Design and build scalable, cloud-native data pipelines (batch and streaming) supporting analytics, ML, and AI-powered applications</p>
</li>
<li><p>Architect enterprise-grade data models across data lakes, warehouses, and real-time systems (Snowflake, Databricks, Kafka, DBT)</p>
</li>
<li><p>Define standards for data governance, reliability, performance, and cost optimization</p>
</li>
<li><p>Optimize storage formats and distributed data systems (Parquet, Delta Lake, Iceberg)</p>
</li>
</ul><p>AI &amp; LLM-Enabled Systems</p>
<ul>
<li><p>Develop Retrieval-Augmented Generation (RAG) systems integrating structured and unstructured enterprise data</p>
</li>
<li><p>Design and implement agentic workflows using frameworks such as LangChain, LangGraph, LlamaIndex, n8n, or similar</p>
</li>
<li><p>Integrate LLM APIs (OpenAI, Anthropic, or similar) into secure, production-ready applications</p>
</li>
<li><p>Implement guardrails, validation layers, monitoring, and evaluation frameworks to mitigate hallucination, prompt injection, and data security risks</p>
</li>
</ul><p>Backend &amp; API Development</p>
<ul>
<li><p>Build secure backend APIs (Python/FastAPI) to expose AI-powered capabilities</p>
</li>
<li><p>Ensure observability, monitoring, and cost controls across AI and data services</p>
</li>
<li><p>Contribute to microservices architecture and distributed system design</p>
</li>
</ul><p>Collaboration &amp; Leadership</p>
<ul>
<li><p>Partner cross-functionally with Product, Engineering, and Operations to translate business requirements into scalable technical solutions</p>
</li>
<li><p>Mentor junior engineers and contribute to architectural standards and best practices</p>
</li>
<li><p>Drive innovation in data engineering and AI-powered logistics systems</p>
</li>
</ul><p>Qualifications</p>
<ul>
<li><p>Bachelor's degree in Computer Science or equivalent practical experience</p>
</li>
<li><p>8+ years of software or data engineering experience in production environments</p>
</li>
<li><p>Strong expertise in data modeling, distributed systems, and scalable cloud architectures</p>
</li>
<li><p>Hands-on experience with ETL/ELT frameworks and streaming technologies (Kafka, Spark, HEVO, Snowflake, DBT, etc.)</p>
</li>
<li><p>Advanced SQL skills and deep understanding of modern storage formats</p>
</li>
<li><p>Proficiency in Python and RESTful API development</p>
</li>
<li><p>Experience integrating LLM APIs into production applications</p>
</li>
<li><p>Strong understanding of system reliability, observability, and cost management in cloud environments</p>
</li>
</ul><p>Desired Experience</p>
<ul>
<li><p>Experience building RAG pipelines including embeddings, vector search, chunking strategies, and hybrid retrieval</p>
</li>
<li><p>Experience designing multi-agent or agentic AI workflows with orchestration frameworks</p>
</li>
<li><p>Knowledge of LLM evaluation, monitoring, and tracing tools (LangSmith or similar)</p>
</li>
<li><p>Experience with microservices architecture and distributed system design</p>
</li>
<li><p>Exposure to transportation, logistics, or supply chain domains</p>
</li>
<li><p>Active GitHub contributions or demonstrated passion for emerging AI and data technologies</p>
</li>
</ul><p>Why Join Cargomatic?</p>
<p>
We offer competitive compensation and a comprehensive benefits package, including:</p>
<ul>
<li><p>Medical, Dental, and Vision insurance</p>
</li>
<li><p>401(k) with company match</p>
</li>
<li><p>Flexible Spending Accounts (FSA)</p>
</li>
<li><p>Company-paid Life and Disability insurance</p>
</li>
<li><p>Flexible Paid Time Off (PTO) and company holidays</p>
</li>
<li><p>Paid Parental Leave</p>
</li>
<li><p>Employee Assistance Program (EAP)</p>
</li>
<li><p>Opportunity to build cutting-edge AI solutions in a high-growth logistics technology company</p>
</li>
<li><p>Collaborative, high-impact team environment</p>
</li>
</ul><p>Cargomatic is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all employees feel valued and empowered to succeed.</p></div>

Data Engineer

COZMALABS

<p>We are looking for a highly experienced <b>Senior Data Architect</b> to design, implement, and govern enterprise data solutions that enable business insights and drive strategic decision-making. The ideal candidate will have a proven track record of delivering scalable, high-performance data architectures, integrating multiple systems, and ensuring data quality, governance, and alignment with overall enterprise strategy.</p><p>Key Responsibilities</p><ul><li>Design and implement <b>enterprise data architectures</b> across ERP, CRM, and BI platforms</li><li>Lead database and data modeling efforts for <b>SQL (Oracle, PL/SQL) and NoSQL systems</b></li><li>Develop and govern <b>ETL pipelines, data integration, and transformation workflows</b></li><li>Define and implement <b>Master Data Management (MDM) strategies</b> and ensure data quality, consistency, and governance</li><li>Optimize queries, performance, and scalability for large datasets</li><li>Collaborate with business and technical stakeholders to align data architecture with enterprise strategy</li><li>Support dashboards, reporting, and analytics using BI tools (Power BI, Tableau, or equivalent)</li></ul><p>Requirements</p><ul><li>Bachelor&rsquo;s degree in Computer Science, IT, or related field</li><li><b>15+ years</b> of experience in data architecture or enterprise data management</li><li>Expertise in <b>SQL/NoSQL databases, PL/SQL, and complex query optimization</b></li><li>Experience with <b>ERP, CRM, and BI tools</b></li><li>Strong background in <b>ETL, data warehousing, and MDM strategy</b></li><li>Knowledge of cloud data platforms (AWS, Azure, Oracle Cloud)</li><li>Excellent analytical, communication, and stakeholder management skills</li></ul><p>Preferred</p><ul><li>Data architecture or cloud certifications (TOGAF, CDMP, or equivalent)</li><li>Experience in large-scale enterprise or regulated environments</li><li><b>Arabic language skills desirable but not mandatory</b></li></ul><p>Job Type: Full-time</p>

Data Architect

YO IT CONSULTING

<div><h2 class="jobSectionHeader"><b>Title:</b><b> Data Engineering Solutions Architect</b></h2>
<p><b>Experience:</b> 8&ndash;12 Years<br>
<b>Location:</b> Ahmedabad</p>
<p><b>This is 5 days work from office role</b></p>
<p><b>Office Location- Ambawadi, Ahmedabad</b></p>
<p><b>Required Qualifications</b></p>
<ul><li><b>8&ndash;12 years of experience in data engineering and architecture, including hands-on solution delivery.</b></li>
<li>Deep expertise with <b>Snowflake or Databricks, with strong working knowledge of tools like dbt, Matillion, SQL, and Python or PySpark</b>.</li>
<li>Experience designing and implementing <b>data pipelines and orchestration</b> using tools like <b>Airflow, Control-M, or equivalent</b>.</li>
<li>Familiarity with <b>cloud-native data engineering services</b> (Such as AWS Glue, Redshift, Athena, GCP BigQuery, Dataflow, Pub/Sub, etc.) or similar.</li>
<li><b>Strong understanding of data modelling, ELT/ETL design, and modern architecture frameworks (medallion, layered, or modular architectures).</b></li>
<li>Experience integrating and troubleshooting <b>APIs and real-time data ingestion technologies</b> (Kafka, Kinesis, Pub/Sub, REST APIs).</li>
<li>Familiarity with <b>traditional ETL and data integration tools</b> (Informatica, SSIS, Oracle Data Integrator, etc.).</li>
<li>Excellent understanding of <b>data governance, performance tuning, and DevOps for data (CI/CD, version control, monitoring)</b>.</li>
<li>Strong communication, problem-solving, and stakeholder management skills.</li>
</ul><p><b>Preferred Qualifications</b></p>
<ul><li>Certifications such as:</li>
<li><b>Snowflake SnowPro</b>, <b>Databricks Certified Architect</b>, <b>AWS Data Analytics Specialty</b>, or <b>Google Professional Data Engineer</b>.</li>
<li>Prior <b>consulting or client-facing experience</b>.</li>
<li>Exposure to <b>AI/ML, data quality, or metadata management frameworks</b>.</li>
<li>Experience leading solution design across <b>multi-cloud or hybrid environments</b>.</li>
</ul><p><b>Key Responsibilities</b></p>
<div><ul><li>Design and architect <b>end-to-end data solutions</b> using technologies like <b>Snowflake, Databricks, dbt, Matillion, Python, Airflow, Control-M</b>, and cloud-native services on <b>AWS/Azure/GCP</b>.</li></ul>
<ul><li>Define and implement <b>data ingestion, transformation, integration and orchestration frameworks</b> for structured and semi-structured data.</li></ul>
<ul><li>Architect <b>data lakes and data warehouses</b> with an emphasis on scalability, cost optimization, performance, and governance.</li></ul>
<ul><li>Support <b>real-time and API-based data integration</b> scenarios; design solutions for streaming, micro-batch, and event-driven ingestion.</li></ul>
<ul><li>Lead design and delivery of <b>data visualization and reporting</b> solutions using tools such as <b>Power BI, Tableau, and Streamlit</b>.</li></ul>
<ul><li>Collaborate with business and technical stakeholders to define requirements, design architecture blueprints, and ensure alignment with business objectives.</li></ul>
<ul><li>Establish and enforce <b>engineering standards, frameworks, and reusable assets</b> to improve delivery efficiency and solution quality.</li></ul>
<ul><li>Mentor data engineers and help build internal capability on emerging technologies.</li></ul>
<ul><li>Provide thought leadership around <b>modern data platforms, AI/ML integration, and data modernization strategies</b>.</li></ul>
</div><p><b>Job Description</b></p>
<p>We are looking for an experienced <b>Data Engineering Solutions Architect</b> to join our growing Data Practice. The ideal candidate will have <b>8&ndash;12 years of hands-on experience</b> designing, architecting, and delivering large-scale data warehousing, data lake, ETL, and reporting solutions across modern and traditional data platforms. You will play a key role in defining <b>scalable, secure, and cost-effective architectures</b> that enable advanced analytics and AI-driven insights for our clients.</p>
<p>This role demands a balance of technical depth, solution leadership, and consulting mindset - helping customers solve complex data engineering challenges while also building internal capability and best practices within the organization.</p></div>

Solution Architect - Data Engineering

Quantiphi

<div><div>While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.<br>
<br>
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!</div><div>
Job Location: Mumbai, Bangalore (Offshore) (Hybrid)</div><div>
Experience : 14+ Years</div><div><br>
Job Role - Senior Lead Architect - Data</div><div>
We are looking for an experienced data personnel as a key member of our technology consulting team. You will play a vital role in designing, planning and implementing data solutions on AWS for our clients. This role requires expertise in migrating data from the Big data platform to AWS, thus enabling clients to leverage the full potential of cloud capabilities.</div><div>
Key Responsibilities:</div><ul><li><div>
Senior Lead is responsible to oversee the migration and modernization of the customer&rsquo;s platform and database services from Big data tech stack to Amazon Web Services (AWS)</div></li><li><div>
Senior Lead should provide technical guidance and mentorship to the data engineering team</div></li><li><div>
Design a robust AWS architecture for the database services, utilizing services such as Amazon RDS, Amazon Redshift, Amazon Aurora, Amazon Athena and Amazon DynamoDB</div></li><li><div>
Implement migration strategies and modernization processes, ensuring compatibility, performance, and adherence to best practices</div></li><li><div>
Collaborate closely with application and infrastructure teams to facilitate seamless integration of database services</div></li><li><div>
Identifies and implements opportunities for optimization and performance improvements during the migration</div></li><li><div>
Ensure compliance with data security, governance, and regulatory requirements during the migration</div></li></ul><div>
Must have skills:</div><ul><li><div>
Proven experience in cloud migration and modernization projects, with a strong understanding of AWS and Big data technologies.</div></li><li><div>
Strong understanding of cloud architecture principles and best practices</div></li><li><div>
Experience with data migration tools and strategies for AWS</div></li><li><div>
Understanding of AWS services such as S3, Redshift, RDS, and Data Pipeline.</div></li><li><div>
Exposure to Bigdata stacks like Sqoop,HDFS,Hive,Nifi</div></li><li><div>
Skills in designing data models.</div></li><li><div>
Proficiency in ETL (Extract, Transform, Load) processes and tools, including AWS Glue and Apache Beam.</div></li><li><div>
Knowledge of both SQL and NoSQL databases</div></li><li><div>
Proficient in scripting and automation tools using Python/pyspark, Bash, or similar languages to automate data transfer and to streamline migration processes</div></li><li><div>
Strong ability to work effectively with cross-functional teams</div></li><li><div>
Proficient in documenting migration processes and providing training/support to stakeholders</div></li><li><div>
Experience in project planning, including defining timelines, milestones, and deliverables</div></li><li><div>
Skilled in scoping, planning, and executing data-related projects while adhering to timelines and budgets</div></li><li><div>
Ability to convey data requirements and migration benefits to non-technical stakeholders</div></li><li><div>
Strong documentation skills for creating architectural documents and communicating complex concepts to non-technical stakeholders</div></li><li><div>
At least 2 Professional or Specialty level AWS certification</div></li></ul><div></div><div>
Good to have skills:</div><ul><li><div>
Experience of working for customers/workloads in one of FSI,Retail,CPG domain.</div></li><li><div>
 Exposure to IaC tools like Terraform and to CI/CD tools</div></li><li><div>
Familiarity with data virtualization (e.g., Amazon QuickSight,PowerBI, Tableau) and data governance tools (e.g., Collibra).</div></li><li><div>
Managing security, monitoring, and compliance with AWS IAM, Secrets Manager, CloudWatch, CloudTrail, and KMS.</div></li><li><div>
Exposure to Data Mesh architecture,Data Governance frameworks</div></li></ul><div><div><div><div><div><div><div><div><i>
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us</i><i>!</i></div></div></div></div></div></div></div></div></div><div></div>

Senior Technical Architect - Data

Bank of America

<div><p><b>Job Description:</b></p><p></p><p>
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.<br>
<br>
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates&rsquo; physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.<br>
<br>
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.<br>
<br>
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!</p><p><b><br>
Job Description:</b><br>
This job is responsible for the execution of data architectural solutions for complex initiatives that span multiple Lines of Business and control functions. Key responsibilities include facilitating solution driven discussions, working with stakeholders to support adherence to the enterprise data management policy and standards, and supporting architecture design reviews to ensure integration of data architecture principles in technology solutions. Job expectations include educating data management teams on enterprise data architectural principles and data management processes and routines.</p><p></p><p>
RDA policy adherence tool enablement - EMP delivery of Report Inventory Management, CRF management, report lineage, Enterprise Business Glossary, governance, attestation.
</p><p></p><p><b>Responsibilities:</b></p><p></p><ul><li>
Partners with various technology teams to establish data solutions and architecture for large, complex initiatives that align with the enterprise data architecture strategy and strategic technology and platform decisions</li><li>
Develops clear and concise responses to questions from senior management and control partners regarding the enterprise data architecture strategy</li><li>
Manages multiple priorities in a matrixed environment with attention to detail and accuracy</li><li>
Communicates effectively to influence agreement between partners and escalates items, as needed, to ensure execution activities remain on track</li><li>
Ensures all relevant risk, financial, and compliance policies and standards are met</li><li>
Manages relationships with business and technology partners and creates an inclusive and healthy working environment to resolve organizational impediments and blockers</li><li>
Educates data management teams on enterprise data architectural principles, processes, and routines</li></ul><p></p><p><b>
Required Qualifications:</b></p><ul><li>
Collibra</li><li>
Product / project management</li></ul><p></p><p><b>
Desired Qualification:</b></p><ul><li>
Collibra Level 1 and 2</li><li>
Solution Architect certifications</li></ul><p></p><p><b>
Skills:</b></p><ul><li>
Architecture</li><li>
Business Analytics</li><li>
Critical Thinking</li><li>
Data Management</li><li>
Data Visualization</li><li>
Consulting</li><li>
Data Modeling</li><li>
Process Design</li><li>
Regulatory Compliance</li><li>
Risk Management</li><li>
Cloud Solutions</li><li>
Collaboration</li><li>
Data Governance</li><li>
Talent Development</li><li>
Technical Strategy Development</li></ul><p></p><p><b>
Shift:</b></p>
1st shift (United States of America)<p></p><p><b>
Hours Per Week:</b></p>
40</div><p></p>

Sr Data Architect

<div>About DMI:
<div>
DMI is a leading provider of digital services and technology solutions, headquartered in Tysons Corner, VA. With a focus on end-to-end managed IT services, including managed mobility, cloud, cybersecurity, network operations, and application development, DMI supports public sector agencies and commercial enterprises around the globe. Recognized as a Top Workplace, DMI is committed to delivering secure, efﬁcient, and cost-effective solutions that drive measurable results. Learn more at www.dminc.com</div>
About the Opportunity:
<div>
DMI, LLC is seeking a <b>Data Architect &amp; Data Governance Lead</b><b> </b>to join us.</div><div></div><div><br>
A strategic and detail-oriented Data Architect to lead the design and governance of GMCB's data architecture and establish a comprehensive Data Governance framework. The ideal candidate will combine modern data architecture expertise with governance leadership to ensure GMCB's data assets are trustworthy, well-documented, and managed in compliance with state and federal requirements.</div><div></div><div><b><br>
Duties and Responsibilities:</b></div><ul><li>
Review and assess GMCB's existing Data Governance Charter; deliver charter improvement recommendations covering decision rights, policies, stewardship models, and governance workflows (Deliverable B1)</li><li>
Conduct a Metadata and Stewardship Standards Assessment covering data dictionaries, metadata practices, stewardship assignments, and data collection standards (Deliverable B2)</li><li>
Develop the Updated Governance Standards Package including revised charter, RACI matrix, refined stewardship roles, metadata standards, and Data Governance Playbook v1.0 (Deliverable B3)</li><li>
Author the comprehensive Data Governance Playbook covering governance framework, data asset profiles (VHCURES, VUHDDS, ASSR), data quality standards, and stewardship procedures</li><li>
Design and deploy the Governance Dashboard Suite in Power BI: Governance Activity, Compliance, Data Quality, and Stewardship Performance dashboards (Deliverable B4)</li><li>
Develop and deliver Governance Training &amp; Enablement Materials for GMCB Data Stewards and leadership (Deliverable B5)</li><li>
Design integration patterns between Azure Databricks, ADO, and Power BI to support automated data quality monitoring and governance compliance tracking</li><li>
Establish data quality standards, lineage tracking, and metadata governance aligned with HIPAA requirements for regulated health datasets</li><li>
Define governance workflows, approval triggers, and policy enforcement mechanisms using Power Automate and ADO pipelines</li><li>
Collaborate with the DevOps Engineer and Agile Coach to embed governance checkpoints into sprint workflows and CI/CD pipelines</li></ul>
Qualifications:
<div><b>
Education and Years of Experience: </b>Minimum 8 to 11 Years</div><div></div><div><b><br>
Desired Skills and Experience</b><b>:</b></div><ul><li>
Experience designing enterprise data architectures on Microsoft Azure (Azure Databricks, Azure Data Lake, Azure Synapse)</li><li>
Demonstrated experience building and implementing Data Governance frameworks, playbooks, and RACI structures in public sector or healthcare environments</li><li>
Proficiency with Power BI for governance dashboards including compliance monitoring, data quality trending, and stewardship KPIs</li><li>
Knowledge of HIPAA data compliance requirements and regulated health data assets (claims, encounters, clinical data)</li><li>
Experience with metadata management, data dictionaries, data lineage, and master data management practices</li><li>
Familiarity with Azure DevOps work item configuration for governance tracking and policy workflow automation</li><li>
DAMA-DMBOK, CDMP, or equivalent Data Governance certification preferred</li></ul><div></div><div><b><br>
Background Requirements: </b>Successful completion of a Fingerprint background investigation.</div><div></div><div><b><br>
Citizenship Status Required: </b>H 1B</div><div></div><div><b><br>
Physical Requirements:</b> None required for this position.</div><div></div><div><b><br>
Location: </b>Remote, US</div>
Working at DMI:
<div>
DMI is a diverse, prosperous, and rewarding place to work. Our culture is shaped by five core values that guide how we work, grow, and succeed together:</div><div></div><ul><li><b><br>
Do What&rsquo;s Right</b> &ndash; We lead with honesty and integrity.</li><li><b>
Own the Outcome</b> &ndash; We take responsibility and deliver.</li><li><b>
Deliver for Our Customers</b> &ndash; We are relentless about delivering value.</li><li><b>
Think Bold, Act Smart</b> &ndash; We innovate with purpose.</li><li><b>
Win Together</b> &ndash; We collaborate and celebrate our success.</li></ul><div>
These values aren&rsquo;t just ideals&mdash;they show up in how we support every part of your well-being:</div><div></div><ul><li><b><br>
Convenience/Concierge</b> &ndash; Virtual health visits, commuter perks, pet insurance, and entertainment discounts that make life easier.</li><li><b>
Development</b> &ndash; Annual performance reviews, tuition assistance, and internal career growth opportunities to help you thrive.</li><li><b>
Financial</b> &ndash; Generous 401(k) matches, life and disability insurance, and financial wellness tools to support your future.</li><li><b>
Recognition</b> &ndash; Annual awards, service anniversaries, referral bonuses, and peer-to-peer shoutouts that spotlight your achievements.</li><li><b>
Wellness</b> &ndash; Healthcare coverage, wellness programs, flu shots, and biometric screenings to support your health.</li></ul><div>
DMI values employees for their talents and contributions, and we take pride in helping our customers achieve their goals. Because when we live our values, we all win together.</div><div></div><div><b><br>
***************** No Agencies Please *****************</b></div><div></div><div><br>
Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. US citizenship may be required for some positions.</div></div>

Data Architect & Data Governance Lead

Amtrak

<div><p><b>Your success is a train ride away!</b></p><p>
As we move America&rsquo;s workforce toward the future, Amtrak connects businesses and communities across the country. We employ more than 20,000 diverse, energetic professionals in a variety of career fields throughout the United States. The safety of our passengers, our employees, the public and our operating environment is our priority, and the success of our railroad is due to our employees.</p><p></p><p><b><br>
Are you ready to join our team?</b></p><p>
Our values of &lsquo;Do the Right Thing, Excel Together and Put Customers First&rsquo; are at the heart of what matters most to us, and our Core Capabilities, &lsquo;Building Trust, Accountability, Effective Communication, Customer Focus, and Proactive Safety &amp; Security&rsquo; are what every employee needs to know and do to be most impactful at Amtrak. By living the Amtrak values, focusing on our capabilities, and actively embracing and fostering diverse ideas, backgrounds, and perspectives, together we will honor our past and make Amtrak a company of the future.</p><p></p><div><div><div><h2 class="jobSectionHeader"><b><br>
Job Summary</b></h2></div><div><p>
The Data &amp; AI Senior Engineer advances Amtrak&rsquo;s mission to make trusted, high-quality, and intelligent data broadly accessible for decision-making, automation, and innovation. This role is responsible for leading the design and delivery of complex data and AI solutions that power Amtrak&rsquo;s analytics, operational systems, and digital experiences.</p><p>
Senior Engineers apply deep technical expertise to architect and optimize pipelines, integrations, and data services. They ensure solutions meet performance, security, and governance standards while mentoring junior engineers and influencing design decisions across teams. The Senior Data &amp; AI Engineer acts as both a hands-on developer and a technical leader, helping to scale Amtrak&rsquo;s data and AI capabilities through standardization, reusability, and continuous improvement.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Essential Functions</b></h2></div><div><ul><li>
Lead the design and evolution of scalable data and AI platform capabilities across Databricks (lakehouse), SAP data environments (e.g., Datasphere/S/4), and virtualization layers (e.g., Denodo) to deliver a unified, governed, self-service ecosystem.</li><li>
Provide hands-on technical guidance in coding, API-first integrations, model lifecycle management, pipeline development, and integration patterns.<br>
Architect and enforce engineering standards across ingestion, transformation, feature engineering, model deployment, and governance-as-code controls embedded directly into pipelines.</li><li>
Mentor junior and mid-level engineers, fostering skill development, collaboration, and engineering excellence.</li><li>
Partner with architects, product owners, and governance leads to align solutions with Amtrak&rsquo;s enterprise data strategy and roadmap.</li><li>
Design and implement reusable platform accelerators including APIs, templates, and feature engineering patterns that enable self-service analytics and AI across domains.</li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b><br>
Minimum Qualifications</b></h2></div><div><ul><li>Education: Bachelor&rsquo;s degree in Computer Science, Data Engineering, or a related technical field; equivalent experience may be considered.</li><li>Experience: 4&ndash;6 years of experience in data engineering, software development, or data architecture.</li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b><br>
Preferred Qualifications</b></h2></div><div><ul><li>
Experience in a leadership capacity within a scaled agile environment or data platform modernization initiative.</li><li>
Familiarity with enterprise data governance, metadata management, and security standards.</li><li>
Exposure to MLOps, cloud data platforms, and automation tools that accelerate delivery.</li><li>
Experience implementing production-grade MLOps pipelines, including model versioning, CI/CD, monitoring, and governance controls embedded into data and AI workflows.</li><li>
Prior mentorship or technical leadership of multi-functional project teams.</li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b><br>
Knowledge, Skills, and Abilities</b></h2></div><div><ul><li>
Advanced proficiency in Python and SQL with deep experience in distributed data processing (e.g., Spark) and modern lakehouse architectures (Databricks strongly preferred), including integration of SAP data platforms and virtualization technologies into enterprise-scale solutions.</li><li>
Strong understanding of data quality, observability, and performance optimization.</li><li>
Demonstrated ability to lead teams through technical challenges while remaining hands-on in design and coding.</li><li>
Experience working within agile product teams, coordinating across multiple stakeholders.</li><li>
Strong understanding of API-first and event-driven architecture patterns, including secure service-to-service communication and role-based access control (RBAC).</li><li>
Experience embedding data quality validation, schema enforcement, lineage tracking, and policy-as-code controls directly into pipelines and AI workflows.</li><li>
Excellent communication, collaboration, and problem-solving abilities.</li><li>
Experience building reusable cost effective, feature stores, semantic layers, or internal platform services that enable self-service analytics and AI.</li></ul></div></div></div><p></p><p><br>
The salary/hourly range is $86,500.00 &ndash; $111,996.00. Pay is based on several factors including but not limited to education, work experience, certifications, etc. Depending on an employee&rsquo;s assigned worksite or location, Amtrak may consider a geo-pay differential to be applied to the employee&rsquo;s base salary. Amtrak may offer additional incentive and pay programs to recognize and reward our employees, including a short-term incentive bonus based upon factors such as individual and company performance that is commensurate with the level of the position and/or long-term incentive plan compensation. In addition to your salary, Amtrak offers a comprehensive benefit package that includes health, dental, and vision plans; health savings accounts; wellness programs; flexible spending accounts; 401K retirement plan with employer match; life insurance; short and long term disability insurance; paid time off; back-up care; adoption assistance; surrogacy assistance; reimbursement of education expenses; Public Service Loan Forgiveness eligibility; Railroad Retirement sickness and retirement benefits; and rail pass privileges. Learn more about our benefits offerings here.</p><p></p><p><b><br>
Requisition ID:</b>166077</p><p><b>
Work Arrangement:</b>06-Onsite 4/5 Days Click here for more information about work arrangements at Amtrak.
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<b>Relocation Offered:</b>No
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<b>Travel Requirements:</b>Up to 25%</p><p><b>
You power our progress through your performance.</b></p><p>
We want your work at Amtrak to be more than a job. We want your career at Amtrak to be a fulfilling experience where you find challenging work, rewarding opportunities, respect among colleagues, and attractive compensation. Amtrak maintains a culture that values high performance and recognizes individual employee contributions.</p><p><br>
Amtrak is committed to a safe workplace free of drugs and alcohol. All Amtrak positions requires a pre-employment background check that includes prior employment verification, a criminal history check and a pre-employment drug screen.</p><p>
Candidates who test positive for marijuana will be disqualified, regardless of any state or local statute, ordinance, regulation, or other law that legalizes or decriminalizes the use or possession of marijuana, whether for medical, recreational, or other use. Amtrak's pre-employment drug testing program is administered in accordance with DOT regulations and applicable law.</p><p><br>
In accordance with DOT regulations (49 CFR &sect; 40.25), Amtrak is required to obtain prior drug and alcohol testing records for applicants/employees intending to perform safety-sensitive duties for covered Department of Transportation positions. If an applicant/employee refuses to provide written consent for Amtrak to obtain these records, the individual will not be permitted to perform safety-sensitive functions.</p><p></p><p><br>
In accordance with federal law governing security checks of covered individuals for providers of public transportation (Title 6 U.S.C. &sect;1143), Amtrak is required to screen applicants for any permanent or interim disqualifying criminal offenses.</p><p><br>
Note that any education requirement listed above may be deemed satisfied if you have an equivalent combination of education, training and experience.</p><p><br>
Amtrak is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race/color, to include traits historically associated with race, including but not limited to, hair texture and hairstyles such as braids, locks and twists, religion, sex (including pregnancy, childbirth and related conditions, such as lactation), national origin/ethnicity, disability (intellectual, mental and physical), veteran status, marital status, ancestry, sexual orientation, gender identity and gender expression, genetic information, citizenship or any other personal characteristics protected by law.</p></div>

Data & AI Senior Engineer - 90405343 - Washington

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