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Delta Utilities · 8 hours ago

Data Architect (Enterprise Data)

New Orleans, LA

Full-time

Onsite

Senior Level

7+ years exp

Delta Utilities is seeking a Data Architect to stand up a modern, cloud‑first IT landscape that will serve 580,000 natural gas customers across Louisiana and Mississippi. This role involves designing and maintaining an enterprise data architecture while optimizing the Oracle Utilities cloud suite and integrating additional data sources.

Customer ServiceEnergyNatural ResourcesOil and Gas

Responsibilities

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

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

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

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

Qualification

Data ArchitectureOracle DatabaseMicrosoft AzureData GovernanceETL/ELT PipelinesData ModelingData SecurityMicrosoft PurviewContinuous ImprovementCost OptimizationOperational EfficiencyCommunication SkillsProblem-Solving SkillsCollaborationMentoring

Required

Bachelor's degree in Computer Science, Engineering, or related field preferred

7+ years in data architecture, data engineering, or related roles designing and implementing enterprise data solutions; utilities, energy, or asset‑intensive industry experience strongly preferred

Microsoft Certified: Azure Data Engineer Associate (DP‑203)

Microsoft Certified: Power BI Data Analyst Associate (PL‑300)

Preferred

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

Strong data modeling skills (relational and dimensional)

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

Preferred: Additional certifications such as Azure Solutions Architect, Oracle Database, or DAMA CDMP