A specialist role focused on pivoting data strategy from application-centric silos to a unified, data-centric ecosystem, leading the design and implementation of ontologies and semantic layers.
Responsibilities
Lead the design and implementation of ontologies and semantic layers
Own and define the metadata management strategy
Ensure data is discoverable, traceable, and governed
Act as a technical leader within the designated technical area
Drive the development of the technical area and anticipate future trends
Requirements
Degree in Computer Science, Engineering, or Physics field
Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. This role requires a proactive approach to identifying system anomalies and ensuring smooth operation of critical applications.
Responsibilities
Expected to be an SME, collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Coordinate with stakeholders to ensure timely resolution of application issues and minimize business impact.
Lead data governance and AI enablement initiatives to improve data quality, AI readiness, and enterprise data cataloging.
Compensation
Base Salary Range: $80,300 to $138,330 annually
Responsibilities
Enhance SCAN’s semantic foundation by developing dimensional models, hierarchies, domain relationships, and governed metrics that enable consistent AI use cases.
Support ontology and knowledge graph initiatives by identifying key business entities, relationships, synonyms, and domain concepts that improve data connectivity, searchability, and AI comprehension.
Govern and document data assets across Snowflake, Databricks, and Iceberg environments to ensure structured and semi-structured data is well-described, discoverable, and trusted for analytics and AI workflows.
Maintain and enrich the enterprise data catalog, documenting metadata, lineage, ownership, usage context, and business meaning for high-value data assets.
Improve data discoverability and usability through tagging, glossary management, workflow optimization, and metadata quality controls.
Requirements
Bachelor's degree in information systems, Data Analytics, Computer Science, Business Administration, Healthcare Administration, Statistics, or a related field
We are seeking a visionary and hands-on Enterprise Data Integration Architect to join our Integration Architecture team and serve as the dedicated integration representative to partner with the Data & AI organization. This role is pivotal in shaping and executing our enterprise-wide integration strategy for data and AI initiatives, leveraging cutting-edge technologies and cloud-native platforms on AWS and/or Azure.
Responsibilities
Define and drive the integration strategy for data and AI initiatives across the enterprise
Partner with Data & AI leadership to align integration architecture with business goals and data strategies
Evaluate and recommend modern integration technologies and patterns (e.g., event-driven, API-led, streaming, data mesh)
Partner with regional teams in defining and designing integration patterns and architectures
Design scalable, secure, and resilient integration architectures on AWS and/or Azure using services such as Glue, Lambda, Kinesis, S3, Redshift, and others
Requirements
Bachelor’s or Master’s degree in Computer Science
Information Systems, or related field
Nice to have: Azure cloud services
Nice to have: regulated industries (healthcare, finance)
Seeking an experienced data governance professional to build and scale governance frameworks across enterprise customer data, focusing on data quality, metadata, catalog management, lineage, consent and privacy.
Compensation
the recruiting pay range for this position is $90,000 - $100,000
Responsibilities
Lead the design, implementation and continuous improvement of data governance frameworks across data domains
Define and operationalize standards, processes and documentation for data quality, metadata, cataloging, lineage, stewardship and policy adherence
Partner with legal, technology, marketing, digital product and analytics teams to align governance priorities and embed governance requirements into day-to-day execution
Support the development and adoption of data quality practices, including issue identification, ownership, remediation workflows and control alignment
Drive metadata and catalog management efforts by establishing data definitions, critical data elements, ownership expectations and documentation standards
The approximate annual base compensation range for this position is:
165,300 to 235,000 USD
Responsibilities
Serve as a strategic leader responsible for designing enterprise-grade data and analytics solutions that enable data-driven decision-making across the organization.
Lead the architecture and delivery of complex data and analytics platforms aligned with business and technology strategy.
Collaborate with senior stakeholders to define solution scope, business requirements, and success metrics.
Design and optimize data models, pipelines, and integration frameworks to support advanced analytics and reporting.
Establish and enforce data governance, quality, and compliance standards across platforms and teams.
Serving as the technical lead for a team of Data Engineers to design, build, optimize, and owning scalable enterprise data pipelines and platform capabilities in Snowflake.
Senior Data Platform Engineer: Oregon, Washington, Utah, and Idaho: The expected hiring range is $114,000 - $143,000, the full salary range is $114,000 - $186,000, and the bonus target is 15%. North Dakota: The expected hiring range is $101,000 - $134,000, and the full salary range is $101,000 - $167,000.
Responsibilities
Lead and mentor Data Engineers; drive engineering standards and best practices.
Independently design, build, tune, and own scalable Snowflake ELT pipelines, data models, and platform artifacts supporting analytics/operational workloads.