Scottsdale Database Architect

AgaveIS is a Scottsdale-based senior database architecture practice with petabyte-scale production experience. We designed and operated a 2+ petabyte video platform at Tempest Telecom — production data infrastructure most consultancies have never touched. Schema design, indexing, partitioning, query optimization, and AI-ready architecture for Scottsdale-area businesses with serious data workloads.

Why Scottsdale Businesses Need a Senior Database Architect

Scottsdale's economy is dense with professional services, financial firms, healthcare, and the businesses that serve them — sectors that produce data faster than they did a decade ago and store it longer than they used to. The database is no longer a configuration concern handled by the application framework. Schema decisions, indexing strategy, partitioning, and retention policy determine whether the system scales gracefully or becomes a constant operational drag. Most Scottsdale dev shops handle databases as an afterthought; AgaveIS treats database architecture as the foundation that the rest of the application stands on.

Real Petabyte-Scale Production Experience

We designed and operated the database systems behind a 2+ petabyte video platform at Tempest Telecom — metadata indexing, ingestion pipelines, content delivery telemetry, and operational reporting across years of accumulated content. At that volume, query plans behave non-linearly: a query that runs in 50 milliseconds at 100 terabytes can take 90 seconds at 500 terabytes if its plan flips from seek to scan. Backup and recovery becomes architecture rather than configuration. Hot-data distribution drives the storage economics. Connection pool tuning becomes a primary failure mode. Those lessons inform every database project we take on, even projects two orders of magnitude smaller.

What a Database Architecture Engagement Covers

The work that produces measurable performance and cost outcomes:

• Schema design — normalization where data integrity matters, strategic denormalization where read performance is critical, foreign key enforcement, check constraints, and data types sized to actual requirements.
• Indexing strategy — covering indexes for high-frequency reads, filtered indexes for selective subsets, composite indexes ordered to match WHERE-clause patterns, and removal of indexes that the query workload does not actually use.
• Partitioning — date-range, tenant-ID, and hash partitioning that lets the database engine prune entire partitions during queries.
• Query optimization — execution plan analysis, identification of implicit conversions, parameter-sniffing remediation, and statistics maintenance.
• Caching architecture — Redis, materialized views, and in-memory tables, selected based on freshness requirements and consistency model.
• AI-ready data design — pgvector or dedicated vector databases, hybrid retrieval combining vector and traditional filters, and clean entity-relationship structure for RAG context.

Database Platforms We Work With

Microsoft SQL Server is the dominant platform for Scottsdale enterprise transactional workloads — strong T-SQL ecosystem, deep Power BI integration, and execution-plan tooling that pays back the licensing cost. PostgreSQL is the workhorse for applications that benefit from advanced features (full-text search, JSON storage, partial indexes, pgvector for AI workloads) and predictable cost as data volume grows. MySQL and MariaDB are right for high-throughput read-heavy systems. Redis adds the caching and session layer above either. Vector databases — pgvector when PostgreSQL is already in the stack, or Pinecone/Weaviate/Qdrant for dedicated workloads — extend the architecture for AI-augmented features.

Always Bundled with Application Development

We do not offer standalone database consulting. Database architecture is always bundled with custom application work because the schema, query patterns, transaction boundaries, and caching design all depend on how the application reads and writes. Schemas designed in isolation often need rework once the application is built; applications built against a fixed schema work around constraints that should have been changed. The integrated approach lets every layer be tuned for the actual workload — and there is one engineer accountable for the result instead of two consultancies pointing at each other when something is off.

Senior Architects, Not Junior DBAs

Database work is often handed to junior engineers at large consultancies or to remote DBAs who have never seen the application using their schema. AgaveIS is structurally different. The same engineer who scopes the project writes the schema, designs the indexes, tunes the queries, and documents the rollout. No subcontracting, no offshoring, no junior layers between buyer and implementation. Fixed-scope projects with fixed-fee quotes — the project ends when it is done, not when the hours run out.

In-Person Architecture Reviews in Scottsdale

Database architecture decisions benefit from a whiteboard, a stakeholder in the room, and the ability to draw the data flow with the people who actually run the business. AgaveIS is at the Scottsdale-Phoenix Camelback Corridor, available for in-person sessions at your office or ours. Architecture reviews and schema-design workshops in person, implementation distributed for efficiency, with the option to come back together when the project benefits from it.

Frequently Asked Questions