Master Data Management

Master Data Management Developer Jobs

3 jobs found

21d ago

Lead IT Data Engineer

Tyson Foods Springdale, AR

Springdale, AR

21d ago

Full time Backend Developer Manager Analytics

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Job Description

Tyson Foods is hiring a Lead IT Data Engineer (onsite) to lead enterprise data solutions for the Beef & Pork Analytics team, with a focus on governed cloud pipelines and production-ready analytics.

Responsibilities

Lead the design and implementation of data engineering solutions for Beef & Pork Analytics, including Fresh Meats data lake, hub, analytics, semantic, and reporting-ready data layers.
Convert business requirements, report needs, KPIs, functional specifications, and validation criteria into scalable data models, pipelines, transformations, and analytics-ready datasets.
Develop, enhance, and support data products that enable Fresh Meats reporting use cases.
Build and orchestrate complex ETL/ELT pipelines using approved enterprise patterns, including automation, dependency management, monitoring, alerting, and production support.
Support source-system integrations into Data@Tyson/GCP, including replication, freshness monitoring, reconciliation, and exception handling for DB2, SAP, USDA, and other internal/external sources.
Design for reuse across analytics projects using shared dimensions, conformed business definitions, enterprise business terms, and scalable modeling practices.
Implement and validate data security requirements, including role-based access, row-level security, column-level security, ARS roles, and data classification dependencies and DSS/security review requirements when applicable.
Partner with Data Governance, Data Stewards, Product Owners, Data Modeling Coaches, business SMEs, and reporting teams to ensure assets are documented, classified, stewarded, and aligned to approved terminology.
Support Collibra workflows by ensuring tables, fields, lineage, classifications, and business terms are identified, reviewed, and maintained as part of delivery.
Lead data quality, reconciliation, and observability practices so issues are detected proactively and traced from source systems through GCP layers to reporting outputs.
Participate in and lead architecture and data model reviews, GitLab merge request readiness, release planning, production promotion, and change approval activities.
Provide operational support for Beef & Pork Analytics products, including incident triage, service requests, data lake freshness issues, access/security questions, pipeline failures, and production reporting impacts.
Coordinate with business and IT stakeholders during issue resolution by communicating impact, status, root cause, remediation steps, and validation results clearly and timely.
Mentor data engineers and analysts in SQL, GCP, dbt, orchestration, data modeling, testing, documentation, and enterprise governance expectations.
Manage technical relationships with internal platform teams, vendors, and third-party partners to deliver needed tools, integrations, and platform capabilities.
Perform other assigned duties aligned with organizational vision, mission, values, and scope of practice.

Requirements

Bachelor’s Degree in Computer Science, Information Systems, Data Engineering, Analytics, or related field, or equivalent combination of education and relevant experience.
5+ years of relevant, practical experience in data engineering, cloud data platforms, enterprise analytics, data warehousing, business intelligence, or related delivery.
Strong SQL skills and experience building analytical datasets for enterprise reporting, dashboards, semantic models, and downstream analytics consumption.
Hands-on experience with cloud data platforms, preferably GCP and BigQuery (or comparable cloud technologies).
Experience designing and supporting multi-layer data architectures (lake, hub, curated, analytics, semantic, dimensional, star-schema, or medallion-style models).
Experience with ETL/ELT development, orchestration, pipeline monitoring, job dependencies, failure handling, and production support.
Experience working with source-system data, preferably including ERP, mainframe, DB2, SAP, and datasets tied to manufacturing, sales, finance, pricing, or commodity-related domains.
Understanding of data governance, metadata, business terminology, lineage, stewardship workflows, data classification, and controlled promotion into production.
Experience implementing or supporting data security controls, including role-based, row-level, and column-level access patterns.
Experience with Git-based development, merge requests, code review, deployment discipline, testing evidence, and change approval documentation.
Experience with Kimball data warehouse methodology in a medallion raw-cleansed-curated architecture.
Ability to lead technical design discussions, identify risks, challenge assumptions, and recommend scalable, supportable solutions.

Technologies

SQL, GCP, BigQuery, ETL, ELT, DB2, SAP, USDA
Data@Tyson, Power BI, Cloud Storage
Dataproc, Pub/Sub, Composer/Airflow, Dataflow
dbt, Python, PySpark, Spark, Terraform, CI/CD
AtScale, Fivetran, HVR, CDC, Collibra, GitLab

Benefits

Paid time off
401(k) plans
Affordable health, life, dental, vision, and prescription drug benefits

Preferred Certification(s)

Google Cloud data engineering, analytics, data governance, Power BI, or other relevant IT certifications

Preferred Technical Skills

Experience with GCP services such as BigQuery, Cloud Storage, Dataproc, Pub/Sub, Composer/Airflow, Dataflow, or related tools.
Experience with dbt, Python, PySpark, Spark, Terraform, CI/CD, or other modern data engineering technologies.
Experience with Power BI, AtScale, semantic layer design, Fabric capacity awareness, or enterprise reporting consumption patterns.
Experience with Fivetran, HVR, CDC, data replication, freshness checks, or source-to-cloud ingestion monitoring.
Experience supporting USDA and analytics tied to commodity pricing, sales realization, profitability, finance, supply chain, order/invoice, customer, product, or manufacturing.
Experience with data quality frameworks, automated reconciliation routines, observability tooling, or audit-ready validation practices.
Experience supporting AI, machine learning, automation, or advanced analytics use cases through trusted and well-modeled data assets.

Soft Skills

Technical Leadership: Senior technical contributor who leads complex engineering work and coaches others toward durable, governed solutions.
Business Partnership: Builds relationships with business SMEs, product managers, analysts, data stewards, and platform teams.
Execution Ownership: Drives work from discovery and design through development, validation, production deployment, support, and continuous improvement.
Communication: Explains data concepts, technical tradeoffs, risks, timelines, dependencies, and decisions to technical and non-technical stakeholders.
Detail Orientation: Values accuracy, traceability, and documentation for business-critical reporting, validation, issue resolution, and audit-sensitive processes.
Strategic Thinking: Aligns architecture and engineering choices to business outcomes, reuse, governance, security, performance, and long-term maintainability.
Mentorship: Develops engineers and analysts through SQL quality, modeling standards, documentation, testing, and support readiness.
Change Management: Helps teams adopt new data patterns, cloud practices, governance expectations, and proactive production support behaviors.

Additional Information

Location: Springdale, AR (onsite)
Work shift: 1ST SHIFT (United States of America)
Relocation assistance eligible: No
Hourly applicants only: Complete the task after submitting the application to provide additional information to be considered for employment.
Unsolicited assistance: Tyson Foods and its subsidiaries do not accept unsolicited support from external recruitment vendors for open positions within the United States.
Unsolicited resumes: Any resumes or candidate profiles submitted by recruitment vendors or headhunters without valid written request and search agreement approved by HR will be considered the property of Tyson Foods.
No fees: No fees will be paid if the candidate is hired due to an unsolicited referral.

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21d ago

Azure Data Engineer

Experis Charlotte, NC

Charlotte, NC

21d ago

$70+/hr Full time Backend Developer Azure Azure Data Factory

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Job Description

Experis is hiring an Azure Data Engineer to join the Data Strategy team in Charlotte, NC on an onsite basis. In this role, you will support development of a strategic data platform for the Securities Group within a financial services organization, helping shape Azure-based solutions, pipelines, and governance practices.

You will design and build data systems that enable reference data capabilities, improve data integrity through quality frameworks, and support ongoing platform development aligned to internal standards.

What you’ll do

Design and develop scalable data solutions on the Azure Cloud Platform to support strategic initiatives.
Partner with cross-functional teams to establish reference data systems for securities and pricing data.
Implement and maintain data quality frameworks and data governance tools to ensure data integrity.
Build and operate robust data pipelines using Azure Data Factory, Azure Lake Gen 2, Azure Databricks, and other Azure services.
Support active development of the data platform, maintaining alignment with internal standards and best practices.

What you bring

10+ years of experience in software development, with strong experience in Python, PySpark, and related frameworks.
Proven experience as a Data Engineer with hands-on work in Azure cloud services.
Strong knowledge of Azure Data Factory, Azure Lake Gen 2, Azure Databricks, and Azure Databases.
Experience with data quality frameworks and data governance tools, including Collibra.
Excellent SQL skills, familiarity with RDBMS and NoSQL databases, and understanding of the DevOps lifecycle and CI/CD processes.

Technologies

Azure
Python, PySpark
Azure Data Factory
Azure Lake Gen 2
Azure Databricks
Azure Databases
Collibra
SQL, RDBMS, NoSQL
CI/CD

Benefits

Medical and Prescription Drug Plans
Dental Plan
Vision Plan
Health Savings Account
Health Flexible Spending Account
Dependent Care Flexible Spending Account
Supplemental Life Insurance
Short Term and Long Term Disability Insurance
Business Travel Insurance
401(k), Plus Match
Weekly Pay

Salary: $70 per hour
Experience: 10+ years

For this onsite role, you will support a strategic digital transformation effort, collaborate in a team environment, and help build cloud-based data solutions that drive platform capability for the Securities Group. There is also potential for career growth within a global organization.

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1mo ago

Data Engineer

Horizontal Talent Boston, MA

Boston, MA

1mo ago Closed

Full time Adobe Campaign AEM Aem Cloud Service

This position is no longer accepting applications (closed Sep 17, 2026).

Job Description

Horizontal Talent is seeking a Senior Data & Distribution Platform Engineer to strengthen enterprise data, marketing, and distribution applications within a global asset-management environment. This Boston (onsite) role blends production support with technical leadership, with an emphasis on reliability driven by monitoring, diagnostics, and continuous improvement.

You will help steer day-to-day support work across the data and distribution domain, lead deeper investigations when incidents occur, and partner with engineering, product, business, and vendor teams to keep service outcomes stable and communication clear.

What you’ll do

Provide technical direction and support prioritization across the data and distribution support domain.
Own support activities including incident investigations, service requests, problem management, operational changes, and release readiness.
Lead troubleshooting and root-cause analysis within the agreed Level 2 support scope.
Support and monitor data workflows and platforms such as Snowflake, dbt Cloud, Fivetran, and Collibra.
Support enterprise distribution and marketing applications including AEM, Adobe Campaign, Salesforce C360, and Workfront.
Identify and resolve issues involving APIs, data movement, integrations, and upstream/downstream dependencies.
Execute approved operational fixes and preventive improvements within Level 2 support boundaries.
Contribute to monitoring coverage through runbooks, diagnostics, and support automation efforts.
Improve documentation and knowledge sharing to reduce recurring issues.
Coordinate with technical, product, business, and vendor teams to drive timely resolution and clear updates.

What you bring

7+ years supporting enterprise data platforms, SaaS applications, or production environments.
Strong hands-on experience with Snowflake, advanced SQL, and Python.
Experience with dbt Cloud, Fivetran, or similar data pipeline tools.
Solid background in monitoring and troubleshooting production data workflows.
Ability to guide technical work, mentor others, or coordinate delivery efforts.
Strong root-cause analysis and problem-solving skills.
Excellent communication for working with both technical and non-technical stakeholders.
Understanding of APIs, integrations, data movement, and production support practices.
Familiarity with incident, problem, and change management processes.

Technologies you’ll work with

Snowflake, SQL, Python, dbt Cloud, Fivetran, Collibra, AEM, Adobe Campaign, Salesforce C360, Workfront.

Preferred skills

Experience in client-facing, consulting, or managed services environments.
Exposure to data governance tooling such as Collibra or similar platforms.
Experience supporting AEM, Adobe Campaign, Salesforce C360, or Workfront.
Knowledge of Azure APIM or other enterprise integration layers.
Experience with observability or service management tools.
Background in building operational monitoring, diagnostic tools, or support automation.

Location: Boston, MA (onsite). Experience: 7+ years.

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