Data Architect

We’re Hiring: Senior Data Architect (Remote)

📌 Location: Remote

📌 Employment Type: Annual Renewable Contract

We are seeking a highly experienced Data Architect with deep expertise in the Databricks Lakehouse Platform to design, build, and govern our enterprise data architecture. This is a fully remote role for someone who thrives on independence, ownership, and delivering production-ready solutions at scale.

🔑 Key Responsibilities

• Architect and deliver enterprise-grade data solutions from concept to go-live — no templates, no hand-holding.
• Own architecture decisions end-to-end: design, documentation, and rollout.
• Implement Databricks medallion architecture (Bronze/Silver/Gold) with Delta Lake, Unity Catalog, and Delta Live Tables.
• Optimize clusters, workflows, and compute costs with smart orchestration and policies.
• Define data platform strategy, standards, and best practices across ingestion, storage, transformation, and consumption.
• Lead governance, security, and compliance initiatives (GDPR, CCPA, encryption, masking).
• Partner with BI teams to enable self-service analytics via Power BI, Tableau, and other tools.
• Mentor engineers and act as the primary technical authority for stakeholders.

🎯 Required Skills & Experience

• 10+ years in data architecture/engineering, with 4–5+ years hands-on Databricks in production.
• Proven ability to independently design and deliver enterprise-scale, production-ready architectures.
• Expert-level Databricks (Delta Lake, Unity Catalog, DLT, Workflows, SQL Warehouses).
• Strong programming in PySpark, SQL, Python (Scala a plus).
• Cloud experience: Azure, AWS, or GCP.
• Data modeling expertise: Dimensional, Data Vault, Medallion.
• CI/CD & IaC: Git, Terraform, Databricks Asset Bundles.
• Integration with BI tools and enterprise systems (SAP, Salesforce).
• Certifications (Databricks, Cloud) preferred.

🌟 Soft Skills

• Strong communication and executive presentation skills.
• Ability to mentor and lead teams.
• Track record of delivering solutions that scale across multiple systems and high data volumes.