Data Governance Engineer

4 weeks ago

Fort Worth, United States Mindlance Full time

Work closely with source data application teams and product owners to design, implement and support analytics and data governance solutions that provide insights to make better decisions
• Administer and Support one or more Data Governance platforms for Marketplace, Stewardship, Catalog, Quality and Literacy
• Supporting the research, review, recommendation, purchase, installation, and buildout of new software for Data Quality, Observability and Data Access Management software
• Integrating our Data Governance and Data Platform products
• Supporting Data Governance Frameworks and Automation
• Work closely with source data application teams and product owners to design, implement data governance solutions that provide insights to make better decisions
• Perform multiple aspects involved in the development lifecycle - design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, prod support.
• Provide technical leadership and collaborate within a team environment as well as work independently.
• Be a part of a DevOps team that completely owns and supports their Data Governance product
• Leads development of coding standards, best practices and privacy, security and governance guidelines.
• Mentors' others on technical and domain skills to create multi-functional teams

All you'll need for success
• Minimum Qualifications- Education & Prior Job Experience
• Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
• 3 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
• 3 years data analytics experience using SQL
• 2 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
• Combination of Development, Administration & Support experience in several of the following tools/platforms required:
Scripting: Python, Spark, Unix, SQL
Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake
Azure Data Explorer. Administration skills a plus
Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions
CI/CD: GitHub, Jenkins, Azure DevOps, Terraform
BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana
Data Warehousing: DataStage, Informatica
Data Governance and Privacy: Informatica Axon and EDC, BigID, Anomalo or Montecarlo or other Data Quality tools
• Preferred Qualifications- Education & Prior Job Experience
• 5+ years software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions.
• 5+ years data analytics experience using SQL
• 3+ years full-stack development experience, preferably in Azure
• 3+ years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
• 3+ years' experience on Data Governance and Data Platform products
• Airline Industry Experience
• Skills, Licenses & Certifications
• Expertise with the Azure Technology stack for data management, data ingestion, capture, processing, curation and creating consumption layers.
• Expertise in providing practical direction within the Azure Native cloud services.
• Azure Development Track Certification (preferred)

EEO:
"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."

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