Senior Cloud & Data Platform Architect

Targa Resources

Houston (TX)

On-site

USD 180,000 - 290,000

Full time

7 days ago

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Job summary

Targa Resources is seeking a highly experienced Senior Architect, Data & Cloud Platforms to lead the cloud and data-platform architecture, guiding the maturation of Microsoft Fabric and Azure-based capabilities across the enterprise.

The role focuses on secure, scalable patterns for data ingestion, platform operations, and analytics while collaborating with Data & Analytics, Enterprise Architecture, Infrastructure, and Cybersecurity teams.

Qualifications

Bachelor's degree in Computer Science, Engineering, MIS, or a related technical field; equivalent relevant experience will be considered.
15+ years of progressive enterprise technology experience, including 10+ years in data, database, cloud, integration, or platform architecture roles.
7+ years of hands-on experience designing, administering, tuning, or architecting large enterprise relational database platforms such as SQL Server, Azure SQL, Oracle, PostgreSQL, or comparable technologies.
Demonstrated experience designing ingestion and replication patterns that protect source-system performance, availability, recoverability, and transaction processing.
Deep experience with Microsoft Azure architecture, including storage, compute, networking, private connectivity, identity, security, monitoring, integration, and data services.
Experience architecting modern cloud data platforms and lakehouse/warehouse environments using Microsoft Fabric, Snowflake, Databricks, Azure Synapse, or comparable technologies.
Experience designing reliable and scalable cloud landing zones, network topologies, environment segmentation, policy controls, and production-ready platform architectures.
Experience with ETL/ELT, log-based CDC, data replication, APIs, event streaming, orchestration, and near-real-time data movement.
Strong knowledge of database performance engineering, query optimization, indexing, concurrency, HA/DR, backup and recovery, RTO/RPO, data tiering, and security.
Experience defining capacity, resiliency, observability, workload isolation, release, and environment-promotion patterns for enterprise data and cloud platforms.
Experience architecting secure multi-cloud or hybrid-cloud environments using private endpoints, network segmentation, identity and access management, encryption, logging, and audit controls.
Experience leading architecture reviews and influencing delivery teams, infrastructure, security, application owners, vendors, and executive stakeholders without relying solely on direct authority.

Responsibilities

Define and maintain reference architectures, standards, patterns, decision records, and roadmaps for enterprise data and cloud platforms across Microsoft Fabric, Azure, and related technologies.
Define and govern cloud landing-zone and environment architecture for the data ecosystem, including subscription structure, network topology, private connectivity, identity integration, environment segmentation, policy enforcement, monitoring, and secure platform scalability.
Provide architecture leadership for Targa's medallion architecture, including data acquisition, Bronze/Silver/Gold design, semantic and serving layers, data products, and platform interoperability.
Define operational architecture for Microsoft Fabric and Azure-based data services, including workspace and capacity structure, tenant and environment controls, networking implications, monitoring patterns, workload placement, and production support requirements.
Design source-aware ingestion patterns for batch, ETL/ELT, change data capture, replication, APIs, event streaming, and near-real-time processing.
Assess source-system architecture, workload profile, transaction volume, concurrency, query plans, indexing, locking, log usage, network throughput, recovery objectives, and growth before approving ingestion designs.
Define and apply patterns such as read replicas, availability-group secondaries, log-based CDC, incremental extraction, workload isolation, throttling, scheduling, and resource governance to protect operational source systems from analytical impact.
Establish architecture standards for platform capacity, workload isolation, performance testing, throughput modeling, concurrency management, and scale-out patterns across Fabric, Azure data services, databases, and integration workloads.
Define reliability architecture patterns for data and cloud platforms, including resiliency, failover, disaster recovery, backup and recovery, service continuity, capacity thresholds, observability, and production-readiness standards.
Define architecture patterns for development, test, staging, and production environments, including deployment pathways, release controls, configuration management, rollback patterns, and production-change readiness.
Incorporate cost, consumption, and scalability considerations into architecture decisions, including workload placement, capacity sizing, storage tiering, compute patterns, and vendor/platform tradeoffs.
Partner with database, infrastructure, application, and source-system owners to resolve performance, availability, replication, security, and recovery implications of data movement and analytics access.
Shape data architectures for commercial and trading capabilities, including ETRM integration, market and reference data, near-real-time positions, P&L, exposure, risk, audit lineage, and high-concurrency analytical workloads.
Define architecture for operational and industrial data, including historians, PI, SCADA, time-series telemetry, event data, Maximo, and the integration of OT and enterprise data.
Architect secure cloud connectivity and platform controls, including private endpoints, virtual networks, identity, SSO, SCIM, RBAC/ABAC, secrets, encryption, audit logging, and zero-trust patterns.
Guide the implementation of data catalogs, metadata, lineage, master data, data quality, classification, privacy, fine-grained access, and governance technologies where they are required to support reliable platform operations and governed data consumption.
Evaluate cloud services, databases, replication technologies, integration platforms, and vendor products using architecture, performance, security, resilience, operability, interoperability, and total-cost criteria.
Lead architecture reviews and technical design sessions; document exceptions, dependencies, risks, and decisions in a practical and timely manner.
Create proofs of concept and production pilots for emerging platform, cloud, database, integration, and reliability capabilities while defining measurable success criteria and production-readiness requirements.
Mentor data engineers, platform engineers, database professionals, and solution architects; improve technical depth through reusable patterns, playbooks, and coaching.
Partner with platform leadership to establish capacity models, observability, RTO/RPO, disaster recovery, release practices, and sustainable production operations.
Other duties as assigned.