Google Cloud Architecture, Data Engineering & Native FinOps

Deterministic Cloud Engineering. Zero Vendor Lock-In. Full Code Ownership.

Tech Macro is an independent Google Cloud architectural practice. Every system we build is delivered as documented code directly to your corporate repository. We solve structural problems across the entire Google Cloud lifecycle—from initial feasibility validation and security audits to production data pipelines, infrastructure automation, and unit-cost optimization.

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Core Engineering Practices

Our services are structured around distinct stages of cloud maturity. Each engagement follows strict engineering specifications with measurable technical and financial outcomes.

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Decision Matrix: Where to Start

Select the entry point that matches your current operational bottleneck:

Current Technical or Business Symptom	Recommended Entry Point	Primary Deliverable
Unpredictable GCP bills, expensive BigQuery queries, or idle compute resources.	GCP FinOps	Financial loss map, refactored SQL/storage models, and verified monthly savings.
Broken pipelines, fragmented data sources, or high SaaS connector costs (Fivetran/Stitch).	GCP Data Engineering	Native serverless ingestion (Cloud Run/Pub/Sub) and Dataform ELT in BigQuery.
Manual GCP console changes, slow releases, security gaps, or GDPR audit preparation.	GCP Platform Engineering	Modular Terraform repository, Zero-Trust IAM, and automated CI/CD pipelines.
Unclear system bottlenecks, inherited legacy cloud setup, or pre-investment due diligence.	Infrastructure & Data Audit	Full architectural assessment and step-by-step remediation roadmap.
Validating a new data product, ML workflow, or cloud migration before committing budget.	Proof of Concept (PoC)	Functional prototype and empirical cost/performance calculation.
Existing GCP data platform needs reliable daily maintenance, new connectors, and SLA support.	Data Engineering Retainer	Dedicated ongoing engineering operations and data quality SLA.

1. Diagnostics & Architectural Validation

Before committing capital to large-scale migrations or refactoring live production workloads, we establish a verified technical baseline.

• GCP Infrastructure & Data Platform Audit
  A comprehensive technical inspection of your existing Google Cloud organization. We evaluate IAM security posture, network isolation, Terraform state integrity, BigQuery slot and storage utilization, and pipeline bottlenecks.
  Outcome: A prioritized defect map, security compliance report, and a deterministic refactoring specification.
• Proof of Concept (PoC)
  Rapid, isolated architectural prototyping to validate technical feasibility, latency benchmarks, and exact unit economics on real data samples before full-scale production investment.
  Outcome: Working prototype code in GCP, load-testing metrics, and a verified TCO (Total Cost of Ownership) forecast.

2. Platform Construction & Data Engineering

We replace fragile scripts, manual console configurations (ClickOps), and expensive third-party SaaS connectors with native, serverless Google Cloud architectures.

• GCP Data Engineering
  End-to-end design and implementation of fault-tolerant ELT pipelines and centralized analytical storage. We engineer high-throughput ingestion layers on Cloud Run and Pub/Sub, analytical warehouses in BigQuery, automated data quality transformation pipelines via Dataform / dbt, and Reverse ETL flows back to operational systems.
  Outcome: A reliable, observable data platform with automated schema validation and zero third-party connector fees.
• GCP Cloud Infrastructure & Platform Engineering
  Production-grade Google Cloud foundations built entirely via modular Terraform (IaC). Covers Landing Zone topology, VPC network isolation, keyless Workload Identity Federation, automated CI/CD release workflows, and edge protection via Cloud Armor and Cloudflare.
  Outcome: Reproducible dev/stage/prod environments, automated deployments, and strict compliance with EU data residency (GDPR).

3. Cost Efficiency & Operational Continuity

Once the platform is in production, we ensure billing predictability and continuous system reliability without requiring you to hire a full-time internal infrastructure team.

• GCP FinOps & Cost Optimization
  Engineering-led cloud cost reduction across compute infrastructure and BigQuery. We eliminate unpartitioned table scans, right-size BigQuery editions and slot commitments, enforce automated storage lifecycle policies, and implement hard budget guardrails.
  Outcome: Immediate reduction in monthly GCP spend while maintaining or improving query and application performance.
• Data Engineering Retainer
  Ongoing SLA-backed maintenance, pipeline monitoring, schema drift resolution, and continuous BigQuery optimization for production environments.
  Outcome: Guaranteed dashboard reliability, proactive incident resolution, and predictable monthly engineering support at a fraction of the cost of an in-house team.

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The Tech Macro Engineering Standard

Every engagement across all six practices is governed by four non-negotiable architectural principles:

1. Zero Blind Fixes: We never apply ad-hoc patches to live production environments. Every modification is preceded by diagnostic profiling, dependency mapping, and staging verification.
2. 100% Infrastructure as Code (Terraform): Manual changes in the Google Cloud Console are prohibited. All networks, IAM bindings, compute services, and BigQuery schemas are provisioned through version-controlled Terraform modules and idempotent SQL scripts.
3. Security & EU Regulatory Compliance by Default: We enforce least-privilege IAM, eliminate static service account keys, isolate network perimeters, and lock data storage and processing strictly to designated European Union regions in compliance with GDPR.
4. Full Client Ownership: We do not use proprietary orchestration frameworks or black-box scripts. Upon completion, your team owns 100% of the source code, Terraform state, and operational runbooks.

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Transparent Commercial Model & Audit Credit

We operate on fixed-scope specifications for audits, PoCs, and implementation phases—eliminating the financial risk ofhourly billing overruns.

• Fixed-Price Discovery & Implementation: Clear milestones, defined deliverables, and predictable budgets agreed upon before any code is written.
• 100% Audit Credit Scheme: If you begin with an Infrastructure & Data Platform Audit or FinOps Audit and subsequently engage Tech Macro for an ongoing support retainer (6+ months), 100% of the initial audit fee is credited toward your contract.

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Initiate a Technical Discussion

Whether you need to diagnose an existing Google Cloud environment, cut BigQuery costs, or architect a new data platform from scratch, you will speak directly with a Lead GCP Architect—not a sales representative.