Cloudera Data Platform Cdp Data Analyst Jobs in Usa
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At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.
Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. We are seeking a credentialed actuary to join our Property Loss Reserving and Reserving Development team . This Actuary will leverage advanced knowledge of Loss Reserving techniques and Claims Analytics insights to explain drivers of loss trends.
We offer a flexible work environment that requires an individual to be in the office 4 days per week. Relocation assistance is available for this position.
Applies advanced actuarial knowledge to complete broad and complex projects (e.g., develops alternative methodologies to comply with complex regulatory requirements; selects metrics and designs processes to monitor model performance; translates business problems into technical requirements and performs required analysis to develop solutions; independently runs catastrophe models and interprets and communicates results to support critical business activities, while enhancing the control environment as needed.
Utilizes advanced actuarial, mathematical, or statistical techniques to augment actuarial work product.
Leads special actuarial projects, such as the development of new methodologies or reporting tools.
Trains new team members on the theory and mechanics of relevant actuarial methodologies.
Applies deep understanding of products supported, stakeholders’ needs, and industry trends to solve unstructured business problems.
Identifies and anticipates compliance gaps and process improvements; recommends and develops solutions to mitigate risk.
Represents Actuary in cross-functional efforts.
Develops written communication and presentations that effectively convey data-driven solutions to broad audiences, including cross-functional executive leadership.
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
Bachelor’s degree; OR 4 years of related Actuarial/business/analytical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
~4 years of Actuarial or analytical business experience.
~ Associate of the Casualty Actuarial Society (ACAS) Credential.
~ Demonstrated advanced skills with relevant actuarial, mathematical, and statistical techniques and approaches used to support fact-based decision-making.
~ Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in Python, R, SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
~ Demonstrated experience communicating complex solutions and analysis to both technical and nontechnical audiences, including executive leadership.
Experience performing Loss Reserve analysis and working in Loss Reserving software (i.e. US military experience through military service or a military spouse/domestic partner
Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).
Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.
Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. We are seeking a credentialed actuary to join our Property Loss Reserving and Reserving Development team . This Actuary will leverage advanced knowledge of Loss Reserving techniques and Claims Analytics insights to explain drivers of loss trends.
We offer a flexible work environment that requires an individual to be in the office 4 days per week. Relocation assistance is available for this position.
Applies advanced actuarial knowledge to complete broad and complex projects (e.g., develops alternative methodologies to comply with complex regulatory requirements; selects metrics and designs processes to monitor model performance; translates business problems into technical requirements and performs required analysis to develop solutions; independently runs catastrophe models and interprets and communicates results to support critical business activities, while enhancing the control environment as needed.
Utilizes advanced actuarial, mathematical, or statistical techniques to augment actuarial work product.
Leads special actuarial projects, such as the development of new methodologies or reporting tools.
Trains new team members on the theory and mechanics of relevant actuarial methodologies.
Applies deep understanding of products supported, stakeholders’ needs, and industry trends to solve unstructured business problems.
Identifies and anticipates compliance gaps and process improvements; recommends and develops solutions to mitigate risk.
Represents Actuary in cross-functional efforts.
Develops written communication and presentations that effectively convey data-driven solutions to broad audiences, including cross-functional executive leadership.
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.
Bachelor’s degree; OR 4 years of related Actuarial/business/analytical experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
~4 years of Actuarial or analytical business experience.
~ Associate of the Casualty Actuarial Society (ACAS) Credential.
~ Demonstrated advanced skills with relevant actuarial, mathematical, and statistical techniques and approaches used to support fact-based decision-making.
~ Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in Python, R, SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
~ Demonstrated experience communicating complex solutions and analysis to both technical and nontechnical audiences, including executive leadership.
Experience performing Loss Reserve analysis and working in Loss Reserving software (i.e. US military experience through military service or a military spouse/domestic partner
Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).
Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.
Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
P&C Insurance Data Scientist opening in Atlanta.
Collaborate with data analysts and data engineers in designing/maintaining Machine Learning and AI solutions; partner with IT, Legal, and Claims teams to identify new analytical projects to increase profitability; gather data from internal stakeholders using Python, SQL, Tableau, and Power BI.
Ideal candidate has 2+ years of Data Science/Predictive Modeling experience, including extensive background in Python, SQL, and Git; knowledge of P&C insurance a plus.
(PR13082A)
Senior P&C Insurance Data Scientist opening in Atlanta.
Lead team of data analysts and data engineers in designing/maintaining Machine Learning and AI solutions; collaborate with IT, Legal, and Claims teams to identify new analytical projects to increase profitability; gather data from internal stakeholders using Python, SQL, Tableau, and Power BI.
Ideal candidate has 8+ years of Data Science/Predictive Modeling experience in a P&C insurance setting, including extensive background in Python, SQL, and Git.
(PR13082)
Your role and responsibilities
About the Opportunity
IBM Consulting is seeking an accomplished Data & Analytics Associate Partner to accelerate our growth within the Industrial & Communications sectors. This executive role is responsible for shaping client vision, cultivating senior executive relationships, and developing data-driven solutions that enable clients to successfully navigate complex transformation programs.
You will bring together deep industry expertise and IBM’s portfolio of data, analytics, and AI capabilities to help organizations modernize their data ecosystems—migrating from legacy platforms to modern hybrid cloud architectures—while adopting next-generation analytics, GenAI, and agentic AI to strengthen decision-making and deliver measurable business and financial outcomes.
This role is ideal for a seasoned leader who integrates industry depth, consulting excellence, and technical thought leadership, has a strong understanding of competitive market dynamics, and consistently delivers high-impact transformation at scale.
Key Responsibilities
Market Leadership & Growth
Expand IBM’s Data & Analytics presence by identifying new market opportunities, developing differentiated solutions, and building a strong pipeline.
Engage senior client executives to understand strategic priorities and shape data transformation roadmaps aligned to their business and financial goals.
Lead end-to-end sales cycles, including solution definition, proposal leadership, financial structuring, and contract negotiation.
Strategic Advisory & Transformation Delivery
Advise C-suite leaders on strategies to their data estate modernization, advanced analytics, GenAI, and agentic AI to drive business performance.
Architect integrated solutions that include:
Migration from legacy data platforms to modern cloud-based architectures
Data engineering and Information governance
Business intelligence and advanced analytics
GenAI-powered and agentic AI-driven automation and decisioning
Lead complex transformation programs from discovery through delivery, ensuring measurable outcomes and client satisfaction.
Engagement Excellence & Financial Stewardship
Oversee multi-disciplinary delivery teams to ensure high-quality, consistent execution across all program phases.
Manage engagement financials, including forecasting, margin performance, and overall portfolio profitability.
Align right client technologies, industry expertise, and global delivery capabilities to maximize client value.
Practice Building & Talent Development
Recruit, mentor, and grow top-tier consultants, architects, and data specialists.
Build and scale capabilities in data modernization, cloud data engineering, analytics, GenAI, and emerging agentic AI techniques.
Contribute to practice strategy, offering development, and capability growth across the global Data & Analytics team.
Thought Leadership & Market Presence
Stay ahead of sector and technology trends, including cloud modernization, GenAI, agentic system design, regulatory changes, and evolving competitive dynamics.
Represent IBM at industry conferences, client events, webinars, and executive roundtables.
Create original thought leadership—articles, perspectives, point-of-views—that positions IBM as a leading advisor in data and AI-driven transformation.
This position can be preformed anywhere in the US.
"Leaders are expected to spend time with their teams and clients and therefore are generally expected to be in the workplace a minimum of three days a week, subject to business needs."
Required technical and professional expertise
Qualifications
12+ years of experience in consulting, data strategy, analytics, or digital transformation, with strong exposure to the Industrial or Communications sectors.
Hands-on experience modernizing data ecosystems, including migrating from legacy on-premise platforms to modern cloud-native or hybrid cloud architectures.
Deep expertise with major cloud platforms and their data/analytics stacks, including implementation experience with:
AWS (e.g., Redshift, S3, Glue, EMR, Athena, Lake Formation, Bedrock, SageMaker)
Microsoft Azure (e.g., Azure Data Lake, Synapse, Data Factory, Databricks on Azure, Fabric, Cognitive Services)
Google Cloud Platform (e.g., BigQuery, Cloud Storage, Dataflow, Dataproc, Vertex AI)
Experience designing and implementing end-to-end data pipelines, governance frameworks, and analytics solutions on one or more of these platforms.
Strong understanding of GenAI architectures, LLM integration patterns, vector databases, retrieval-augmented generation (RAG), and emerging agentic AI frameworks.
Proven track record of selling, structuring, and delivering large-scale data and AI transformation programs.
Robust technical and functional expertise in data engineering, cloud data platforms, analytics, AI/ML, information management, and governance.
Executive-level communication and presence, with demonstrated ability to influence senior stakeholders and convey complex topics through compelling narratives.
Financial management experience, including engagement economics, forecasting, margin optimization, and portfolio profitability.
Demonstrated leadership in building, scaling, and developing high-performing consulting and technical teams.
Preferred technical and professional experience
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
#J-18808-Ljbffr
Location: 100% Remote
Duration: 12+ Months
Overview:
An experienced Administrator to operate and support the enterprise implementation of Microsoft Purview Data Catalog across a complex, multi-platform data environment. The administrator will be responsible for the day-to-day configuration, monitoring, and maintenance of Purview capabilities, ensuring reliable metadata ingestion, catalog quality, lineage visibility, and compliance alignment across governed data domains.
This role focuses on platform operations and governance execution, working within established architecture and enterprise governance standards.
Key Responsibilities
Platform Administration & Operations:
- Administer and operate Microsoft Purview Data Map and Data Catalog environments.
- Monitor platform health, scan execution, metadata ingestion, and lineage availability.
- Troubleshoot and resolve catalog, scan, and connectivity issues.
- Perform routine maintenance, configuration updates, and service optimizations.
- Coordinate incident resolution with internal engineering teams and Microsoft support as required.
Data Source Management & Scanning:
- Register, configure, and maintain data sources across Azure, M365, on?prem, and approved third?party platforms.
- Configure and schedule metadata scans for supported sources.
- Manage authentication for scans using managed identities, service principals, and Key Vault secrets.
- Monitor scan performance, failures, and coverage; take corrective action as needed.
- Optimize scan frequency and scope to balance cost, performance, and governance coverage.
Catalog Configuration & Metadata Management:
- Maintain and enforce enterprise metadata standards within the Purview Catalog.
- Manage business metadata, classifications, glossary terms, and custom attributes.
- Ensure metadata accuracy, completeness, and consistency across data assets.
- Support curation activities including asset certification and publishing.
- Resolve duplicate, incomplete, or stale catalog entries.
Lineage & Discovery Enablement:
- Enable and validate data lineage ingestion from supported data platforms.
- Monitor lineage completeness and visibility for critical data assets.
- Assist data consumers and stewards with lineage?based impact analysis.
- Escalate lineage gaps or tool limitations requiring architectural or engineering remediation.
Security, Access & Governance Controls:
- Configure and manage Purview role?based access control (RBAC) within collections.
- Provision and maintain access for administrators, data curators, and data stewards.
- Enforce domain?based access controls and separation of duties.
- Integrate Purview access with Microsoft Entra ID.
- Support sensitivity labels and classification alignment with Microsoft Information Protection.
Compliance & Risk Support:
- Support automated discovery of sensitive data (PII, PCI, PHI).
- Assist risk, audit, and compliance teams with catalog evidence and reporting.
- Validate scan coverage for regulated data domains.
- Support regulatory and audit initiatives (SOX, GLBA, NYDFS, GDPR, etc.).
User Support & Enablement:
- Provide operational support to data producers, consumers, and data stewards.
- Respond to access requests, catalog issues, and usage questions.
- Maintain operational documentation, runbooks, and standard operating procedures.
- Support onboarding of new data domains following established governance patterns.
- Assist with training and adoption initiatives led by governance or architecture teams.
Required Qualifications:
- 5+ years experience supporting enterprise data platforms or governance tools and 4+ years hands?on MS Purview experience at enterprise scale.
- Hands?on experience administering Microsoft Purview Data Catalog.
- Strong understanding of metadata management, data classification, and lineage concepts.
- Working knowledge of Azure data services and enterprise data ecosystems.
- Experience managing access controls and identities using Microsoft Entra ID.
- Familiarity with regulated data environments and compliance requirements.
- Strong troubleshooting, operational support, and documentation skills.
Preferred Qualifications:
- Experience supporting Purview integrations with Synapse, Fabric, Databricks, Snowflake, or SQL Server.
- Exposure to financial services or other regulated industries.
- Experience with PowerShell, REST APIs, or basic automation for operational tasks.
- Prior experience supporting enterprise data governance or stewardship programs.
Sr. Data Engineer (Hybrid)
Chicago, IL
The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.
At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.
We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.
We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.
As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.
RESPONSIBILITIES:
Data Engineering & AI Enablement
- Build and maintain scalable data pipelines and
ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
cases. - Implement best practice patterns for ingestion,
transformation, modeling, and orchestration within a modern lakehouse
environment (e.g., Databricks, Delta Lake, Azure Data Lake). - Develop highperformance
data models and curated datasets with strong attention to quality, usability,
and interoperability; create reusable engineering components and automation. - Collaborate with the Architecture Team, the Data
Platform Lead, and federated IT teams to optimize storage, compute, and
architectural patterns for performance and costefficiency. - Build model-ready data sets and feature
pipelines to support AI/ ML use cases; serve as a technical coordination point
supporting business units' AI-related infrastructure needs. - Collaborate with data scientists and AI Working
Group to operationalize models responsibly and maintain ongoing monitoring
signals.
Governance, Quality & Compliance
- Embed data governance, metadata standards,
lineage tracking, and quality controls directly into engineering workflows;
ensure technical implementation and alignment within engineering workflows. - Work with the Data Governance Lead and business
stakeholders to operationalize stewardship, classification, validation,
retention, and access standards. - Implement privacybydesign and securitybydesign
principles, ensuring compliance with internal policies and regulatory
obligations. - Maintain documentation for pipelines, datasets,
and transformations to support transparency and audit requirements.
Platform Reliability, Observability & Optimization
- Monitor and troubleshoot pipeline failures,
performance bottlenecks, data anomalies, and platformlevel issues. - Implement observability tooling, alerts,
logging, and dashboards to ensure endtoend reliability. - Support cost governance by optimizing compute
resources, refining job schedules, and advising on efficient architecture. - Collaborate with the Data Platform Lead on
scaling, configuration management, CI/CD pipelines, and environment management. - Collaborate with business units to understand
data needs, translate them into engineering requirements, and deliver
fit-for-purpose data solutions; share and apply best practices and emerging
technologies within assigned initiatives. - Work with IT Security and Legal/ Compliance to
ensure platform and datasets meet risk and regulatory standards.
Staff Management
- Lead, mentor, and provide management oversight
for staff. - Responsible for setting objectives, evaluating
employee performance, and fostering a collaborative team environment. - Responsible for developing staff knowledge and
skills to support career development.
May include other responsibilities as assigned
REQUIREMENTS:
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
- 5+ years of experience in data engineering within cloud environments
- Experience in people management preferred.
- Demonstrated hands-on experience with modern data platforms (Databricks preferred).
- Proficiency in Python, SQL, and data
transformation frameworks. - Experience designing and operationalizing
ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
CI/CD processes. - Solid understanding of data modeling,
structured/unstructured data patterns, and schema design. - Experience implementing governance and quality
controls: metadata, lineage, validation, stewardship workflows. - Working knowledge of cloud architecture, IAM,
networking, and security best practices. - Demonstrated ability to collaborate across
technical and business teams. - Exposure to AI/ML engineering concepts, feature
stores, model monitoring, or MLOps patterns. - Experience with infrastructureascode
(Terraform, CloudFormation) or DevOps tooling.
The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.
This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.
We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.
THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION
Apply NowShare Save JobRemote working/work at home options are available for this role.
Duration: 6+ months
Location: 100% Remote
Job Overview
The Marketplace Data Product Engineer serves as the primary technical facilitator, and adoption champion for the Marketplace platform. This role bridges engineering, product, and business domains - leading workshops, demos, onboarding sessions, and cross?domain engagements to accelerate Marketplace adoption. You will configure demo environments, support development, translate complex technical concepts for business audiences, gather product feedback, and partner closely with product and engineering teams to shape the Marketplace roadmap. This will guide domains through the process of understanding, showcasing, and maturing their data products within the ecosystem.
Key Responsibilities
- Facilitate workshops, demos, onboarding sessions, and cross?domain engagements to drive Marketplace adoption.
- Serve as the primary technical presenter of the Marketplace for domain teams and stakeholders.
- Engage with domain owners to understand their data products, help refine their articulation, and showcase how they integrate into the Marketplace ecosystem.
- Configure and maintain demo environments for Marketplace capabilities, data products, and new features.
- Support light development, proof?of?concept configurations, and sample integrations to demonstrate platform capabilities.
- Translate technical Marketplace concepts into clear, business?friendly language for non?technical audiences.
- Collect structured feedback from domain teams, synthesize insights, and partner with product and engineering to influence the roadmap.
- Develop and refine training materials, demos, playbooks, and onboarding assets to support continuous adoption.
- Act as an advocate for domains, ensuring their data product needs and challenges are well represented in Marketplace planning.
- Support ongoing adoption initiatives, including community sessions, office hours, and cross?domain knowledge sharing.
Required Skills & Qualifications
- 4-7+ years of experience in data engineering, platform engineering, solution engineering, technical consulting, or similar roles.
- Strong understanding of data products, data modeling concepts, data APIs, enterprise integrations and metadata?driven architectures.
- Ability to configure and demonstrate platform features, build light proofs?of?concept, and support technical onboarding.
- Excellent communication and presentation skills, with experience translating technical concepts for business partners.
- Experience facilitating workshops, leading demos, or driving customer/product adoption initiatives.
- Ability to engage domain teams, understand their data product needs, and help articulate value within a larger ecosystem.
- Strong collaboration and stakeholder management skills across engineering, product, and business teams.
- Comfortable working in fast?moving environments and driving clarity through ambiguity.
Preferred Qualifications
- Experience with data product and governance frameworks, data marketplaces, data mesh concepts, or platform adoption roles.
- Hands?on experience with cloud data platforms (Azure, AWS, or GCP), data pipelines, or integration tooling.
- Familiarity with REST/GraphQL APIs, event-driven patterns, and data ingestion workflows.
- Background in solution architecture, customer engineering, or sales engineering.
- Experience developing demo environments, sample apps, or repeatable platform enablement assets.
- Strong storytelling ability when explaining data product value, domain capabilities, and Marketplace patterns.
Location: Remote
Duration: 8+ months
Marketplace Platform Lead
Job Overview
The Marketplace Platform Lead is responsible for driving the end?to?end technical architecture and implementation of the enterprise Data Marketplace platform. This role spans stakeholder engagement, architectural definition, integration design, and hands-on leadership throughout implementation. The ideal candidate is a seasoned technical leader with deep experience designing integration patterns, building scalable platforms, and guiding engineering teams through complex cross-system solutions.
Key Responsibilities
Lead stakeholder meetings to gather business requirements, align on platform objectives, and clarify workflows and user journeys.
Conduct tool evaluations, build scoring frameworks, and make recommendations on platforms, vendors, and integration technologies.
Define end-to-end Marketplace architecture, including data flows, APIs, domain models, integration strategies, and platform components.
Design and lead the implementation of integration patterns, including API-based integrations, event-driven patterns, workflow orchestration, and cross-system interoperability.
Develop technical designs, architectural documents, and standards for Marketplace workflows, user flows, and extensibility patterns.
Provide hands-on architectural guidance to engineering teams throughout solution design, development, and delivery.
Oversee technical quality, scalability, performance, and security across Marketplace components and integrations.
Collaborate with product, engineering, data, and security teams to ensure compliance with enterprise data governance, privacy, and reliability standards.
Lead technical reviews, drive design decisions, and ensure alignment across cross-functional stakeholders.
Required Skills & Qualifications
8+ years of experience in software engineering, platform development, or technical architecture roles.
Strong expertise in designing and implementing integration architectures, including REST/GraphQL APIs, event-driven patterns, synchronous/asynchronous messaging, and workflow engines.
Deep understanding of distributed systems, microservices, and cloud-native solutions (Azure, AWS, or GCP).
Proficiency with API design, messaging systems, and enterprise integration frameworks.
Experience defining technical architecture, data flows, and workflow designs for complex platforms.
Ability to translate business requirements into technical designs, user flows, and actionable engineering plans.
Demonstrated leadership in guiding engineering teams through architectural decisions and implementation.
Strong communication skills with the ability to influence technical and non-technical partners.
Experience evaluating and scoring platforms, tools, or vendor solutions.
Solid knowledge of DevOps practices, CI/CD, infrastructure-as-code, observability, and security best practices.
Preferred Qualifications
Experience building or leading a Data Marketplace platform.
Familiarity with workflow orchestration platforms, rules engines, BPM tools, or catalog management systems.
Experience with enterprise identity systems (OAuth, SAML, SSO), access governance, and data privacy frameworks.
Background working with enterprise data platforms, data governance, or cross-domain integration patterns.
Prior experience leading architectural governance or serving as a platform architect in an enterprise environment.
Duration: 6 Months
Location: Elma, NY
Shift Timing: 1st Shift
Summary: The Contracts Data Analyst plays a crucial role in managing customer purchase orders and ensuring compliance with contractual requirements. This position requires strong analytical skills and the ability to work collaboratively in a dynamic team environment.
Key Responsibilities:
- Review and manage customer purchase orders, initiate sales orders, process returned material reports, and sales quotes
- Interact with appropriate disciplines to ensure that all contractual requirements are consistent with proposals
- Work in multiple customer portals
- Review and approve delegation of authority for contract reviews
- Perform customer interactions in a professional manner to enhance business opportunities
- Maintain confidentiality as applicable
- Other duties as assigned
Required Qualifications:
- Associate's or Bachelor's Degree, preferably in Business Administration or Legal Studies
- Demonstrated proficiency with Microsoft Office and MRP systems; SAP experience is a plus
- Strong analytical and communication skills, both written and verbal
- Ability to interpret contractual language
- Ability to work in a dynamic team environment and adapt to quick changes in priorities
- Ability to anticipate, identify, and communicate issues while providing practical solution recommendations
- Demonstrated ability to develop and maintain customer-centric relationships
