HRmango · 1 week ago
Data Architect (Databricks)
United States
Full-time
Remote
Senior LevelHR Mango is hiring a Databricks Architect for an international consulting firm client. This role involves leading client-facing data platform implementations and managing the full lifecycle of data products while ensuring high-impact architectural responsibilities.
ConsultingHuman ResourcesRecruiting
Hiring Manager
Melissa Freeman - SHRM CP
Responsibilities
Define the overall data platform architecture (Lakehouse/EDW), including reference patterns (Medallion, Lambda, Kappa), technology selection, and integration blueprint
Design conceptual, logical, and physical data models to support multi-tenant and vertical-specific data products; standardize logical layers (ingest/raw, staged/curated, serving)
Establish data governance, metadata, cataloging (e.g., Unity Catalog), lineage, data contracts, and classification practices to support analytics and ML use cases
Define security and compliance controls: access management (RBAC/IAM), data masking, encryption (in transit/at rest), network segmentation, and audit policies
Architect scalability, high availability, disaster recovery (RPO/RTO), and capacity & cost management strategies for cloud and hybrid deployments
Lead selection and integration of platform components (Databricks, Delta Lake, Delta Live Tables, Fivetran, Azure Data Factory / Data Fabric, orchestration, monitoring/observability)
Design and enforce CI/CD patterns for data artifacts (notebooks, packages, infra-as-code), including testing, automated deployments and rollback strategies
Define ingestion patterns (batch & streaming), file compacting/compaction strategies, partitioning schemes, and storage layout to optimize IO and costs
Specify observability practices: metrics, SLAs, health dashboards, structured logging, tracing, and alerting for pipelines and jobs
Act as technical authority and mentor for Data Engineering teams; perform architecture and code reviews for critical components
Collaborate with stakeholders (Data Product Owners, Security, Infrastructure, BI, ML) to translate business requirements into technical solutions and roadmap
Design, develop, test, and deploy processing modules using Spark (PySpark/Scala), Spark SQL, and database stored procedures where applicable
Build and optimize data pipelines on Databricks and complementary engines (SQL Server, Azure SQL, AWS RDS/Aurora, PostgreSQL, Oracle)
Implement DevOps practices: infra-as-code, CI/CD pipelines (ingestion, transformation, tests, deployment), automated testing and version control
Troubleshoot and resolve complex data quality, performance, and availability issues; recommend and implement continuous improvements
Qualification
Required
Previous experience as architect or lead technical role on enterprise data platforms
Hands-on experience with Databricks technologies (Delta Lake, Unity Catalog, Delta Live Tables, Auto Loader, Structured Streaming)
Strong expertise in Spark (PySpark and/or Scala), Spark SQL and distributed job optimization
Solid background in data warehouse and lakehouse design; practical familiarity with Medallion/Lambda/Kappa patterns
Experience integrating SaaS/ETL/connectors (e.g., Fivetran), orchestration platforms (Airflow, Azure Data Factory, Data Fabric) and ELT/ETL tooling
Experience with relational and hybrid databases: MS SQL Server, PostgreSQL, Oracle, Azure SQL, AWS RDS/Aurora or equivalents
Proficiency in CI/CD for data pipelines (Azure DevOps, GitHub Actions, Jenkins, or similar) and packaging/deployment of artifacts (.whl, containers)
Experience with batch and streaming processing, file compaction, partitioning strategies and storage tuning
Good understanding of cloud security, IAM/RBAC, encryption, VPC/VNet concepts, and cloud networking
Familiarity with observability and monitoring tools (Prometheus, Grafana, Datadog, native cloud monitoring, or equivalent)
Preferred
Automation experience with CICD pipelines to support deployment and integration workflows including trunk-based development using automation services such as Azure DevOps, Jenkins, Octopus
Advanced proficiency in Pyspark for advanced data processing tasks
Advance proficiency in spark workflow optimization and orchestration using tools such as Asset Bundles or DAG (Directed Acyclic Graph) orchestration
Certifications: Databricks Certified Data Engineer / Databricks Certified Professional Architect, cloud architect/data certifications (AWS/Azure/GCP)
Company
HRmango
HRmango is a human resource agency that provides recruiting, consulting, and workforce planning services for various businesses.
Founded in 2012
11-50 employees
Funding
Current Stage
Early StageLeadership Team
Clint Cowley
Chief Revenue Officer (CRO)
Company data provided by crunchbase