Principal Engineer (GCP Cloud Data Engineer & AI Solutions)

Principal Engineer (GCP Cloud Data Engineer & AI Solutions) at Miracle Software Systems, Inc Principal Engineer (GCP Cloud Data Engineer & AI Solutions) at Miracle Software Systems, Inc in Ecorse, Michigan Posted in 1 day ago.

Type:

full-time

Job Description:

We Miracle Software System is looking for the Principal Engineer

• (GCP Cloud Data & AI Solutions) on W2/Fulltime at Dearborn, MI. Principal Engineer
• (GCP Cloud Data & AI Solutions) Dearborn MI Must have below Full Stack skills: End-to-end data flows
• Connecting frontend ? APIs ? data pipelines ? AI models Integration patterns
• Big Query , Dataflow, Vertex AI into cohesive applications CI/CD pipelines
• GitHub Actions for automated testing and deployment across the stack Infrastructure as Code
• Terraform to provision all layers (frontend, backend, data, AI) Role Overview Lead multidisciplinary teams of full stack developers, data engineers, and AI specialists to deliver high-impact, cloud-native applications.

Bridge stakeholder needs with technical execution, owning solution design, strategic roadmaps, and project outcomes in fast-paced environments. Emphasize agile delivery, risk mitigation, and continuous improvement to maximize ROI and operational efficiency.

Key Responsibilities:

Engage stakeholders through workshops to gather requirements, define KPIs, and translate business goals into scalable architectures leveraging GCP services like Vertex AI, BigQuery, Dataflow, and Pub/Sub. Design and own end-to-end solutions, including tech stack selection, cost optimization, security protocols, and AI integrations for agentic workflows with reasoning, tool calling, and long-term memory. Lead team enablement by breaking down epics into user stories, conducting code/design reviews, resolving escalations, and mentoring on best practices in CI/CD (GitHub Actions), IaC (Terraform), and data governance. Collaborate cross-functionally with PMs, product owners, and customers to align delivery plans, manage dependencies, forecast efforts, and ensure on-time, within-budget execution. Drive governance and quality by establishing standards for observability, metadata management, dimensional modeling, and production readiness across dev/stage/prod pipelines. Provide strategic advisory on architectural trade-offs, performance tuning, and enterprise alignment to support long-term scalability and innovation. Required Qualifications 10+ years in IT with proven leadership in cloud architecture, full stack development, and data/AI projects, Strong automation skills in GitHub Actions CI/CD and Terraform IaC for multi-environment deployments. Expertise in GCP ecosystem (Cloud Run, Functions, Composer, Dataflow), full stack orchestration/APIs, data pipelines (SQL/Python), and Vertex AI for generative/agentic AI. Deep knowledge of data governance, quality frameworks, semantic modeling, and integration with 3rd-party systems. Exceptional stakeholder management, communication, and team leadership to foster collaboration and drive results in distributed teams. Analytical problem-solving with ability to navigate ambiguity and deliver under pressure.