Senior Data Engineer

Executive Monroe Consulting Group is recruiting on behalf of a #1 global market leader in digital shopper marketing. Our client is looking for a Senior Data Engineer. This job offers a Hybrid arrangement (3x onsite, 2x WFH in a week) located in Makati and on a night shift.

The role
We’re hiring a hands-on Data Engineer 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.

Key Job Responsibilities
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.

Key Job Qualifications

• 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.