Allata · 2 months ago
Data Architect (Databricks)
Dallas, TX
Full-time
Hybrid
Senior LevelAllata is a global consulting and technology services firm that helps organizations accelerate growth and solve complex challenges. They are seeking a Databricks Architect to lead client-facing data platform implementations, focusing on enterprise data platform architecture and governance while optimizing data pipelines and products.
Enterprise SoftwareInformation ServicesInformation TechnologySoftware
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)
Ability to identify, troubleshoot, and resolve complex data issues effectively
Strong teamwork, communication skills and intellectual curiosity to work collaboratively and effectively with cross-functional teams
Commitment to delivering high-quality, accurate, and reliable data products solutions
Willingness to embrace new tools, technologies, and methodologies
Innovative thinker with a proactive approach to overcoming challenges
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
Allata
Allata is an IT company focused on helping clients enhance or scale business opportunities, create efficiencies and more.
Founded in 2016
201-500 employees
H1B Sponsorship
Allata has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2022 (2)
2021 (3)
Funding
Current Stage
Growth StageLeadership Team
Matt Rosen
Chief Executive Officer
Kim Clarke
Chief Financial Officer
Recent News
Seattle TechFlash
2025-06-16
Dallas Business Journal
2025-01-17
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