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Role:Azure DevOps Engineer Lead Job Description Accountable for developing and delivering technological responses to targeted business outcomes. Analyze, design and develop enterprise data and information architecture deliverables, focusing on data as an asset for the enterprise. Understand and follow reusable standards, design patterns, guidelines, and configurations to deliver valuable data and information across the enterprise, including direct collaboration with 84.51, where needed. Demonstrate the company’s core values of respect, honesty, integrity, diversity, inclusion and safety. Key Responsibilities • Leverage enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses. • Ensure there is clarity between ongoing projects, escalating when necessary. • Leverage innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms. • Define high-level migration plans to address the gaps between the current and future state. • Contribute to the development of cost/benefit analysis for leadership to shape sound architectural decisions. • Analyze technology environments to detect critical deficiencies and recommend solutions for improvement. • Promote the reuse of data assets, including the management of the data catalog for reference. • Draft architectural diagrams, interface specifications and other design documents. Tech Stack: GitHub / GitHub Actions Azure DevOps Terraform Ansible Azure CLI Powershell Linux / Windows Administration Identity Tools (IAM, RBAC, AAD) Azure Networking Artifactory Knowledge of other Azure Services and Data Technologies a Plus Azure Data Factory SQL Server Key Vault Databricks Azure functions Service Bus Log Analytics Event Hub Qualification Notes: DevOps/Automation - Automate everything! Packer (Really hopes the candidate will have this) Azure - (Azue Generalist, Ideally strong in Data Services) Azure Functions Azure DevOps (formerly TFS - Team Foundation Server), Github Actions or TeamCity Data Bricks (N2H) Terraform Windows/Linux(N2H) Python (Ideal), Powershell, Bash Data Life cycle automation, tables, messaging (concepts) Dynatrace or Log Analytics (N2H) Thanks & Regards, PremTarun Palnati | Technical Recruiter Thoughtwave Software and Solutions 314 N. Lake St, Suite 6, Aurora IL 60506 Desk: 6306182581 Email: www.tarun@wavsols.com Website: https://www.thoughtwavesoft.com/
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