OpenArc, LLC.
OpenArc - Empowering Your Career. As a leading IT staffing firm, we are dedicated to connecting talented professionals with your ideal opportunities. We are currently seeking a qualified Data Architect to join our client’s organization and contribute to their ongoing success.
Overview
This Data Architect will design and maintain an enterprise data architecture. The solution will optimize our Oracle Utilities cloud suite (ERP, CCS, WACS, HCM, OFS) while integrating additional enterprise and external data sources. In this role, the Data Architect will develop scalable, secure data solutions aligned with our guiding pillars of reliability, performance, cost optimization, security, and operational efficiency. Strong technical capabilities combined with communication skills are critical to align business, security, and operational goals. Responsibilities
Data Architecture Strategy & Design Develop and maintain the enterprise data architecture and roadmap, aligning data solutions with business objectives and Guiding Pillars. Define and document data architecture standards (data models, integration patterns, naming conventions), ensuring all designs are requirements driven and traceable to business needs. Evaluate emerging data technologies and recommend improvements to keep the data platform modern and efficient. Design and build data integration pipelines connecting the Oracle Utilities suite to the enterprise data platform. Ensure data pipelines are reliable and fault tolerant, with automated error handling and recovery processes. Optimize ingestion and transformation processes (e.g., Azure Data Factory, Microsoft Fabric) for low latency and high throughput. Integrate additional enterprise and external data sources to ensure seamless data flow across platforms. Data Governance & Security
Implement robust data governance using Microsoft Purview to catalog data assets, manage metadata, and track lineage. Enforce zero trust and least privilege principles, ensuring sensitive data is encrypted in transit and at rest. Establish data quality standards and validation processes to maintain a single source of truth and ensure compliance with regulations. Performance & Reliability
Engineer data architecture for high performance and reliability, design data stores and queries to handle current and future peak loads. Incorporate redundancy and failover mechanisms to eliminate single points of failure; test disaster recovery scenarios regularly. Monitor data platform performance and fine tune configurations to meet or exceed SLA targets. Cost Optimization & Operational Efficiency
Optimize data storage and processing costs by right sizing cloud resources and selecting cost effective services. Track usage and spending trends as part of a cloud cost management practice to ensure cost efficiency. Automate data pipeline deployments and routine operations using infrastructure as code and CI/CD for data infrastructure. Keep documentation, diagrams, and runbooks up to date; conduct regular reviews to simplify designs and improve efficiency. Collaborate with application architects, business analysts, and data engineers to design end to end solutions. Contribute to architecture review boards and peer reviews, ensuring data solutions meet enterprise standards and align with Delta Utilities’ Guiding Pillars. Champion core engineering practices: the Keep It Super Simple principle, requirements driven architecture, peer review, and a culture of questioning assumptions. Mentor junior team members and promote continuous improvement of architecture, processes, and tools. Requirements
Having experience with Microsoft PureView Expertise with Oracle Database and SQL (data modeling, complex queries, performance tuning) Hands on experience with Microsoft Azure data platforms (Azure Data Factory, Microsoft Fabric, Azure Data Lake Storage, Azure SQL Database) and data governance tools (Microsoft Purview) Proven ability to design data warehouses/lakes and ETL/ELT pipelines Familiarity with integrating SaaS applications (Oracle Utilities suite or similar) and additional enterprise or external data sources Knowledge of data security best practices (encryption, access controls) and compliance standards Excellent problem solving and communication skills Microsoft Certified: Power BI Data Analyst Associate (PL300) Additional certifications such as Azure Solutions Architect, Oracle Database, or DAMA CDMP At OpenArc, we prioritize your career success and strive to build exceptional technical teams for our clients. By understanding your experience and aspirations, we ensure to present you with rewarding and fulfilling opportunities. As an employee of OpenArc and our clients, you will be eligible to participate in a comprehensive benefits package. OpenArc is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. Seniority level
Not Applicable Employment type
Full-time Job function
Information Technology We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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This Data Architect will design and maintain an enterprise data architecture. The solution will optimize our Oracle Utilities cloud suite (ERP, CCS, WACS, HCM, OFS) while integrating additional enterprise and external data sources. In this role, the Data Architect will develop scalable, secure data solutions aligned with our guiding pillars of reliability, performance, cost optimization, security, and operational efficiency. Strong technical capabilities combined with communication skills are critical to align business, security, and operational goals. Responsibilities
Data Architecture Strategy & Design Develop and maintain the enterprise data architecture and roadmap, aligning data solutions with business objectives and Guiding Pillars. Define and document data architecture standards (data models, integration patterns, naming conventions), ensuring all designs are requirements driven and traceable to business needs. Evaluate emerging data technologies and recommend improvements to keep the data platform modern and efficient. Design and build data integration pipelines connecting the Oracle Utilities suite to the enterprise data platform. Ensure data pipelines are reliable and fault tolerant, with automated error handling and recovery processes. Optimize ingestion and transformation processes (e.g., Azure Data Factory, Microsoft Fabric) for low latency and high throughput. Integrate additional enterprise and external data sources to ensure seamless data flow across platforms. Data Governance & Security
Implement robust data governance using Microsoft Purview to catalog data assets, manage metadata, and track lineage. Enforce zero trust and least privilege principles, ensuring sensitive data is encrypted in transit and at rest. Establish data quality standards and validation processes to maintain a single source of truth and ensure compliance with regulations. Performance & Reliability
Engineer data architecture for high performance and reliability, design data stores and queries to handle current and future peak loads. Incorporate redundancy and failover mechanisms to eliminate single points of failure; test disaster recovery scenarios regularly. Monitor data platform performance and fine tune configurations to meet or exceed SLA targets. Cost Optimization & Operational Efficiency
Optimize data storage and processing costs by right sizing cloud resources and selecting cost effective services. Track usage and spending trends as part of a cloud cost management practice to ensure cost efficiency. Automate data pipeline deployments and routine operations using infrastructure as code and CI/CD for data infrastructure. Keep documentation, diagrams, and runbooks up to date; conduct regular reviews to simplify designs and improve efficiency. Collaborate with application architects, business analysts, and data engineers to design end to end solutions. Contribute to architecture review boards and peer reviews, ensuring data solutions meet enterprise standards and align with Delta Utilities’ Guiding Pillars. Champion core engineering practices: the Keep It Super Simple principle, requirements driven architecture, peer review, and a culture of questioning assumptions. Mentor junior team members and promote continuous improvement of architecture, processes, and tools. Requirements
Having experience with Microsoft PureView Expertise with Oracle Database and SQL (data modeling, complex queries, performance tuning) Hands on experience with Microsoft Azure data platforms (Azure Data Factory, Microsoft Fabric, Azure Data Lake Storage, Azure SQL Database) and data governance tools (Microsoft Purview) Proven ability to design data warehouses/lakes and ETL/ELT pipelines Familiarity with integrating SaaS applications (Oracle Utilities suite or similar) and additional enterprise or external data sources Knowledge of data security best practices (encryption, access controls) and compliance standards Excellent problem solving and communication skills Microsoft Certified: Power BI Data Analyst Associate (PL300) Additional certifications such as Azure Solutions Architect, Oracle Database, or DAMA CDMP At OpenArc, we prioritize your career success and strive to build exceptional technical teams for our clients. By understanding your experience and aspirations, we ensure to present you with rewarding and fulfilling opportunities. As an employee of OpenArc and our clients, you will be eligible to participate in a comprehensive benefits package. OpenArc is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. Seniority level
Not Applicable Employment type
Full-time Job function
Information Technology We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr