1 to 25 of 124 Remote/Hybrid Metadata Jobs

Databricks certifications (e.g., Azure Data Engineer, Databricks Data Engineer Associate/Professional). Experience in regulated or data-intensive industries. Knowledge of MDM, metadata management, lineage, and data governance practices. Personal Attributes Proactive, solution-focused, and resilient in fast-paced environments. Collaborative with strong leadership presence and a curiosity ...

Comfortable leading iterative delivery using Agile practices. Exposure to tools such as dbt, Airflow/ADF/Dagster, Snowflake/Databricks/Fabric, and metadata/governance systems is beneficial. Ready to Lead in a Role with Real Influence? If you want ownership, visibility and the chance to shape analytical ...

capability. - Build and maintain API integrations with third-party systems. Data Engineering & Analysis - Ingest, transform, and prepare structured and unstructured data. - Implement data quality, metadata, and lineage standards within Microsoft Fabric. - Support data science activities (exploratory analysis, feature engineering, modelling support). - Create scalable datasets and semantic models for business ...

against current needs Translate business questions and operational needs into meaningful KPIs, metrics, dashboards, and analytical narratives consumable by non-technical stakeholders. Create clear metadata and documentation that explains datasets, transformations, assumptions, and analytical outputs to support reuse and trust Partner closely with Data Scientists and Visualisation specialists to enable ...

Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge ...

pipelines across operational and analytical layers, working heavily with SQL and Python-based orchestration. You’ll contribute to schema design, scalable data modelling, and metadata-driven frameworks that enable repeatable, production-ready outputs. The role also involves CI/CD automation, environment governance, and supporting the integration of machine learning ...

patterns, event-driven architectures, ETL/ELT processes, and stream processing solutions Translate business requirements into technical specifications and actionable solution designs Work with metadata management and data governance tools such as Cloud Data Catalog, Collibra, or Dataplex Build data quality alerting and data quarantine solutions to ensure downstream reliability ...

patterns, event-driven architectures, ETL/ELT processes, and stream processing solutions Translate business requirements into technical specifications and actionable solution designs Work with metadata management and data governance tools such as Cloud Data Catalog, Collibra, or Dataplex Build data quality alerting and data quarantine solutions to ensure downstream reliability ...

patterns, event-driven architectures, ETL/ELT processes, and stream processing solutions Translate business requirements into technical specifications and actionable solution designs Work with metadata management and data governance tools such as Cloud Data Catalog, Collibra, or Dataplex Build data quality alerting and data quarantine solutions to ensure downstream reliability ...

patterns, event-driven architectures, ETL/ELT processes, and stream processing solutions Translate business requirements into technical specifications and actionable solution designs Work with metadata management and data governance tools such as Cloud Data Catalog, Collibra, or Dataplex Build data quality alerting and data quarantine solutions to ensure downstream reliability ...

high-performing, low-latency, or large-volume data systems. Ability to collaborate effectively within cross-functional, agile, delivery-focused teams. Experience defining data models, metadata, and data dictionaries to ensure consistency and accuracy. Qualifications & Certifications A degree or equivalent qualification in Computer Science, Data Science, or a related discipline (desirable ...

enforce data architecture across mesh and domain-driven data products. Implement and govern real-time/batch processing (Kafka, Spark, Glue). Ensure strong metadata, cataloguing, and lineage practices across the enterprise. Lead teams of engineers across global hubs, mentoring and supporting high standards. Knowledge on data governance & security practices ...

Cloud ecosystems such as AWS, Azure, and GCP Databricks, Snowflake, and similar modern data platforms Infrastructure automation, DevOps, and secure deployment patterns Data governance, metadata, and secure access frameworks Analytics, semantic layers, and enterprise reporting platforms Seniority and Leadership Expectations Operate at Principal Consultant or equivalent leadership level Own architecture ...

including: Workspace strategy and segmentation RBAC and security group model Dev/Test/Prod lifecycle and deployment pipelines Certification and endorsement standards Naming, metadata, and documentation standards Data source approval and security controls Tenant-level governance settings Align governance with IDA, security, data protection, and audit requirements Produce clear ...

including: Workspace strategy and segmentation RBAC and security group model Dev/Test/Prod lifecycle and deployment pipelines Certification and endorsement standards Naming, metadata, and documentation standards Data source approval and security controls Tenant-level governance settings Align governance with IDA, security, data protection, and audit requirements Produce clear ...

including: Workspace strategy and segmentation RBAC and security group model Dev/Test/Prod lifecycle and deployment pipelines Certification and endorsement standards Naming, metadata, and documentation standards Data source approval and security controls Tenant-level governance settings Align governance with IDA, security, data protection, and audit requirements Produce clear ...

Proven ability to design and build scalable, automated data pipelines. * Experience creating data quality rules, validation checks, and reconciliation logic. * Strong understanding of lineage, metadata, and control frameworks. * Ability to investigate data discrepancies, trace lineage across multiple layers, and resolve root causes. * Familiarity with troubleshooting ETL job failures, performance issues ...

Proven ability to design and build scalable, automated data pipelines. * Experience creating data quality rules, validation checks, and reconciliation logic. * Strong understanding of lineage, metadata, and control frameworks. * Ability to investigate data discrepancies, trace lineage across multiple layers, and resolve root causes. * Familiarity with troubleshooting ETL job failures, performance issues ...

industry standards. Familiarity with structured architectural approaches found in TOGAF (data architecture) or equivalent. Proven experience defining and evolving data governance, including data quality, metadata, lineage, and policy assurance across services. Strong capability in data profiling, source system analysis and identifying links across problem domains to define common, reusable solutions. … including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps ...

industry standards. Familiarity with structured architectural approaches found in TOGAF (data architecture) or equivalent. Proven experience defining and evolving data governance, including data quality, metadata, lineage, and policy assurance across services. Strong capability in data profiling, source system analysis and identifying links across problem domains to define common, reusable solutions. … including Azure Data Lake (Gen2), Synapse, Event Hubs, and Cosmos DB, within scalable cloud -based architectures. Robust understanding of data governance, data quality, and metadata management. Desirable skills Experience with Azure Data Factory, Databricks, or Apache Spark, following modern ETL/ELT principles. Experience in using Git, Azure DevOps ...

Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. This will be a remote working opportunity, which may require ...

Python, SQL, PySpark and Spark SQL Experience delivering production pipelines in AWS, Azure, or GCP environments. Solid understanding of data modeling, schema design, metadata management, and governance. Familiarity with CI/CD, Git-based workflows, and software engineering best practices. This will be a remote working opportunity, which may require ...

Core Skills Required Extensive Informatica experience (IICS/PowerCenter/IDMC) across design, build, integration, and deployment Strong background in Data Governance , including: Enterprise metadata management Data lineage setup and optimisation Data quality rules, profiling, and stewardship workflows Policy framework implementation Governance operating model support Experience working with Informatica Data ...

integration tools and patterns (OIC, APIs, FBDI, ETL). Proven delivery of large‐scale data migration. Strong grounding in data governance, quality, and metadata practices. Able to explain complex data concepts and influence stakeholders. Experience designing analytics and semantic models. Familiarity with cloud data platforms and modern data architecture. Awareness ...

environment. The ideal candidate will have: Strong commercial experience designing or embedding data governance frameworks. Hands-on experience with cloud-based governance tools and metadata-driven approaches. Good understanding of GCP (Dataplex, BigQuery) or similar platforms; Azure Purview exposure is a bonus. Familiarity with SQL and the impact of governance ...