Cloud Architect

Cloud Architect Manager

As a Cloud Architect Manager at Artefact, you will be responsible for designing, implementing, and overseeing robust, scalable, and secure cloud solutions that support our clients' data and technology ecosystems. You will collaborate closely with technical teams and business stakeholders to ensure cloud architecture is aligned with business needs, optimizing tool selection, cost efficiency, and scalability. Additionally, you will lead technical teams, mentor engineers, and contribute to Artefact's growth by driving innovation and promoting best practices in cloud technology.

Key Responsibilities

• Lead the design and implementation of cloud infrastructure architectures (cloud, on-premise, hybrid) aligned with business requirements.
• Define and enforce best practices for cloud platform deployment and configuration, security, networking, operations and tools selection.
• Oversee the integration of cloud platforms with data pipelines, storage, and compute services.
• Standardize coding, deployment, and monitoring practices across cloud environments.
• Design and implement automated solutions to set up, monitor, and adjust cloud infrastructure efficiently.
• Lead problem-solving initiatives for complex technical challenges related to cloud environments.
• Provide technical leadership across multiple cloud projects, ensuring efficient resource management.
• Foster teamwork by mentoring, coaching and guiding cloud engineers and ensuring knowledge transfer.
• Manage client relationships regarding project expectations, timelines, and outcomes.
• Contribute to Artefact's growth by maintaining tech partnerships, leading technical proposals to support project planning and identify potential growth areas with existing accounts.

Experience & Skills Required (Azure)

• Proven experience designing and implementing cloud architectures on Azure at scale
• Strong expertise in cloud security, networking, and compliance frameworks.
• Led the end-to-end design of highly available, secure, and cost-optimized Azure environments for enterprise customers, leveraging services such as Azure Virtual Network, Azure Kubernetes Service (AKS), and Azure App Service.
• Defined multi-region DR/HA architectures using Azure Traffic Manager, paired regions, and Azure Site Recovery, achieving RTOs under 1 hour for mission-critical workloads.
• Enable automated patching, scaling, and monitoring tasks via Azure DevOps YAML pipelines and PowerShell DSC, improving operational efficiency.
• Deep understanding of cloud cost optimization, monitoring, and high availability design patterns.
• Collaborated with data engineers to optimize architectures on Azure Data Lake Storage Gen2, Synapse, and MS Fabric
• Strong leadership capabilities with experience managing technical teams and large-scale projects.
• Excellent verbal and written communication skills, including experience creating business-focused presentations.
• Demonstrated problem-solving abilities for complex, multi-disciplinary cloud projects.
• Experience managing senior stakeholders and navigating client discussions effectively.
• Ability to mentor, coach, and develop technical teams in cloud engineering best practices.
• A track record of contributing to business growth through technical innovation and strategic initiatives.

Experience & Skills Required (GCP)

• Proven track record
  in architecting and deploying large-scale Google Cloud solutions
• Deep expertise
  in GCP security, networking, and compliance best practices (VPC Service Controls, IAM, Organization Policy)
• Designed end-to-end GCP environments
  that are highly available, secure, and cost-efficient—leveraging Google Kubernetes Engine (GKE), Cloud Run, Compute Engine, and Cloud SQL
• Defined global DR/HA strategies
  using Cloud Load Balancing, Cloud CDN, and automated failover with multi-region Bigtable/Spanner or persistent disk replication, achieving sub-hour RTOs for critical workloads
• Architected end-to-end data pipelines
  —built both streaming and batch ETL workflows using Pub/Sub, Dataflow (Apache Beam), and Dataproc to ingest high-throughput events into BigQuery for real-time insights.
• Designed scalable data models
  in BigQuery—implemented dimensional schemas with partitioning and clustering to achieve sub-second query times on petabyte-scale datasets.
• Orchestrated and scheduled workflows
  leveraging Cloud Composer (Airflow) and Workflows—added automated retries, data-quality validations, and alerting to guarantee pipeline reliability.
• Automated infrastructure lifecycle
  via Terraform and Cloud Build pipelines—implementing auto-scaling, patch management, and monitoring workflows that boosted operational efficiency
• Mastery of cost control
  in GCP: committed-use discounts, custom machine types, billing export analytics, and budget alerts, plus high-availability patterns for resilience
• Partnered with data teams
  to fine-tune architectures on Cloud Storage, BigQuery, Dataflow, and Dataproc—delivering performant, scalable analytics platforms
• Proven leadership
  in guiding cross-functional teams and steering complex, multi-phase cloud projects to on-time delivery
• Exceptional communicator
  , adept at crafting business-focused presentations and leading stakeholder workshops on GCP strategy
• Strong problem-solver
  , experienced in diagnosing and resolving architectural challenges across compute, data, and networking domains
• Skilled at stakeholder management
  , from technical deep dives with engineering teams to strategic discussions with C-level executives
• Mentorship & coaching
  : developing cloud engineering talent through hands-on training, code reviews, and best-practice evangelism
• Business growth driver
  , recognized for leveraging GCP innovations to unlock new revenue streams and streamline operations