Entrada

Entrada is a global boutique Databricks Consulting Partner specializing in industry solutions and business results for companies of all sizes. They offer a comprehensive suite of services including Data Engineering, Data Strategy & Governance, Data Migrations, Concierge & Support, Artificial Intelligence, Training & Enablement, and Data Analytics & Insights. Entrada focuses on accelerating modern data initiatives with Databricks, helping clients achieve rapid value, minimize risk, and boost ROI. Their approach is driven by a deep understanding of business needs, technological excellence, and proprietary accelerators and solutions. The company boasts a team of experts, including Databricks MVPs, and has a global presence with delivery centers across the Americas, Latin America, India, and Europe.

AIConsultingDatabricksData EngineeringData StrategyGenAILakehouseMLentrada.ai

Entrada

AIConsultingDatabricksData EngineeringData StrategyGenAILakehouseMLentrada.ai

HQSan Francisco, US

Team Size34

Open Jobs1

Total Funding$6M

Latest Fundraise8 months ago

Join the Team

Data Architect

RemotePL

Remote • PL

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Mobile Developer

Full-timeAustin, US

Full-time • Austin, US

Frontend Developer

ContractHaifa

Contract • Haifa

DevOps Engineer

Part-timeBelgrade, RS

Part-time • Belgrade, RS

Frontend Developer

Part-timeNew York, US

Part-time • New York, US

AI Researcher

Part-timeTel Aviv

Part-time • Tel Aviv

AI Researcher

InternshipBelgrade, RS

Internship • Belgrade, RS

Data Architect

Tech Stack: Databricks, Delta Lake, Unity Catalog, Terraform, Python/PySpark, Identity management platform, API integration, Data Governance frameworks, dbt

Technical Scope:

- Design enterprise data platform strategy spanning 3+ workspaces (dev/test/prod)

- Architect multi-layered medallion framework (bronze/silver/gold) supporting 20+ downstream applications with clear data contracts

- Define Databricks governance and security architecture (Unity Catalog hierarchy, RBAC, PII classification, compliance controls)

- Lead Terraform Infrastructure-as-Code standardization for repeatable, auditable workspace provisioning and cost control

- Design identity management and Databricks integration pattern (SSO, role-based provisioning, automated access governance)

- Establish data quality and reconciliation standards to validate legacy system business logic translation (90+ packages)

- Create FinOps strategy: cluster tagging, cost allocation, workspace chargeback models

- Design API integration architecture for enterprise data distribution (rate limiting, idempotency, retry logic)

- Define migration phasing strategy and rollback/validation approach for production cutover

Strategic Responsibilities:

- Partner with CTO/Engineering Leadership on long-term data platform roadmap and scalability planning

- Mentor Senior Data Engineers and guide implementation teams on architectural decisions

- Define data asset ownership and SLA expectations across engineering and business teams

- Establish governance policies (PII handling, access controls, audit trails) aligned with enterprise compliance

- Manage dependencies: coordinate with Finance, IT (network/security), and external vendors

- Translate business requirements into technical architecture (e.g., "enterprise source system feeds 20+ downstream systems" → medallion schema design)

Possible Challenges:

- Designing Databricks workspace isolation and security that scales as organization expands analytics use cases

- Identity management connector may require custom API bridge if standard integration unavailable

- Balancing governance rigor (Unity Catalog row/column filters) with team autonomy and development velocity

- Predicting cost impact of multi-workspace topology and setting realistic chargeback/FinOps models early

- Ensuring data quality framework captures 90+ legacy business rules without becoming unmaintainable

- Managing multi-team execution: aligning integration teams on unified architecture

- Handling evolving requirements from downstream systems; resisting scope creep with clear Phase 1/2/3 roadmaps

Must-Have Skills:

- 5+ years data architecture/engineering experience (cloud data platforms, enterprise-scale)

- Deep Databricks expertise (workspaces, Unity Catalog, security models, cost optimization)

- Strong IaC experience (Terraform, version control, pipeline automation)

- SQL, PySpark, and dbt knowledge to design effective medallion architectures

- Identity and access management concepts (SAML/SSO, RBAC, principle of least privilege)

- Data governance frameworks (PII classification, lineage, audit controls)

Nice-to-Have Skills:

- Identity management platform implementation experience

- iPaaS integration patterns

- REST API and webhook architecture

- Enterprise ERP domain knowledge

- dbt on Databricks implementation experience

- Legacy data warehouse migration patterns

Domain & Soft Skills (HIGH PRIORITY):

- Strategic mindset : Can articulate why architectural decisions

- Communication : Fluent translating between business, finance, security, and engineering teams

- Pushback capability : Willing to defend scope boundaries

- Hands-on credibility : Can code/validate designs (not just PowerPoint architect)