Data Architect

4 days ago

Work from Home, Philippines KC Global Talent Solutions, Inc. Full time ₱1,200,000 - ₱2,000,000 per year

We're hiring a hands-on Data Architect to own our SQL data estate, design scalable pipelines, and lead data enrichment across our Azure-first platform. You'll set the standards for modeling, quality, security, and cost while writing production-grade Python and SQL daily.

What you'll own

SQL Databases

Design and evolve schemas for OLTP/OLAP (Azure SQL, Synapse, Delta Lake), with partitioning, indexing, and RLS for multi-tenant isolation.

Establish data contracts and versioning, govern schema evolution, and implement CDC + SCD patterns.

Performance engineering: query tuning, resource classes, caching strategies, and cost guardrails.

Data Pipelines

Architect ELT/ETL across batch & streaming using Azure Data Factory/Synapse/Databricks, Event Hubs/Service Bus, Functions, and Container Apps/AKS.

Build reliable, observable pipelines (idempotent, retryable, lineage-aware) with SLAs/SLOs and runbooks.

Implement CI/CD for data (dbt/SQL projects, PySpark jobs, tests) using GitHub Actions and IaC (Terraform/Bicep).

Data Enrichment

Define and operate enrichment layers: UPC/GS1, OCR/EXIF metadata, taxonomies, embeddings, and third-party data joins.

Curate gold/semantic models for analytics & product APIs; manage feature/metric definitions and documentation.

Partner with DS/ML to operationalize feature stores, model outputs, drift signals, and evaluation tables.

Azure Architecture & Governance

Own reference architecture across ADLS Gen2, Synapse/Databricks, Azure SQL/SQL Server,

Cosmos DB (incl. vector), Azure AI Search, Key Vault, Purview.

Security & compliance by default: encryption, secret management, RBAC/ABAC, data retention and GDPR/SOC 2 controls.

Observability: OpenTelemetry + Azure Monitor/App Insights, data quality tests, freshness SLAs, and lineage in Purview.

What you'll build (examples)

A durable image ingestion & enrichment pipeline: validate assets, extract OCR/UPC, compute embeddings, store lineage, publish search-ready views.

A hybrid retrieval layer (vector + filters) across Cosmos DB/Azure AI Search for similarity and recommendations.

Requirements:

Extremely strong Python & SQL (you can diagnose complex query plans, write PySpark and

pandas with equal ease).

7+ years in data engineering/architecture with production ownership of SQL databases and

pipelines.

Deep Azure experience: ADLS Gen2, Data Factory/Synapse/Databricks, Azure SQL/SQL Server, Functions, Event Hubs/Service Bus, Key Vault.

Proven design skills in data modeling (star/snowflake, Data Vault/Lakehouse), CDC/SCD, and semantics (dbt or equivalent).

Track record implementing data quality frameworks, lineage, and cost/performance guardrails at scale.

Strong understanding of multi-tenant SaaS, security, and privacy (GDPR basics).

Nice to have

Cosmos DB (incl. vector) and Azure AI Search; embedding pipelines for images/text.

Feature stores, MLflow/registries, real-time inference plumbing.

SQL Server internals, PolyBase/Serverless SQL; Postgres familiarity.

Purview rollouts, governance programs, and data product operating models.

Our stack

Azure (ADLS Gen2, Data Factory, Synapse, Databricks, Functions, Event Hubs, Key Vault,

Monitor)

Delta/Parquet, Azure SQL/SQL Server, Cosmos DB (vector), Azure AI Search

Python (pandas, PySpark, FastAPI for data services), dbt (or equivalent), GitHub Actions,

Terraform/Bicep

Observability: OpenTelemetry, Azure Monitor/App Insights, Sentry/Datadog (where applicable

Willing to work on a night shift schedule.

Job Type: Full-time

Pay: Php150, Php200,000.00 per month

Work Location: Remote

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