Lead Databricks Platform Engineer​/Solutions Architect

Lead Databricks Platform Engineer / Solutions Architect

Company: NTT DATA Services

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward‑thinking organization, apply now.

We are currently seeking a Lead Databricks Platform Engineer / Solutions Architect to join our team on‑site in either Plano, TX;
Chicago, IL;
Minneapolis, MN; or Atlanta, GA.

Job Description:

Databricks Platform & Data Engineer (CoE). Locations:
Plano, TX | Minneapolis, MN | Chicago, IL | Atlanta, GA. Organization: NTT DATA – Databricks Center of Excellence (CoE).

Experience:

12+ years overall; 5+ years with Databricks (enterprise‑scale).

NTT DATA is seeking a senior Databricks Platform & Data Engineer to join our Databricks Center of Excellence (CoE). This role blends platform engineering, architecture, and hands‑on data engineering, with a focus on building and scaling enterprise‑grade Databricks environments for large, regulated clients. The ideal candidate will lead platform setup, governance, and adoption, while partnering directly with clients to design and deliver high‑impact use cases leveraging the latest Databricks capabilities (e.g., Dataflow, Unity Catalog, AI/BI, Genie).

This is a client‑facing consulting role requiring strong technical depth, communication skills, and the ability to translate business requirements into scalable data platform solutions.

• Design and deploy enterprise‑scale Databricks Lakehouse platforms across AWS and Azure.
• Establish secure, governed environments using Unity Catalog, role‑based access controls, and data lineage.
• Define platform standards, reusable patterns, and guardrails for scalable adoption.
• Optimize platform performance, cost, and reliability for production workloads.
• Implement CI/CD, environment promotion, and Dev Ops automation for Databricks.
• Lead adoption of modern Databricks capabilities such as Unity Catalog, Dataflow/declarative pipelines, and Genie/AI‑assisted development.
• Enable AI/BI dashboards, model serving, and advanced analytics use cases.
• Build and optimize batch and streaming data pipelines using Spark and Delta Lake.
• Develop data products and domain‑oriented pipelines aligned to enterprise data strategies.
• Lead end‑to‑end use case delivery, from requirements to production deployment.
• Drive data quality, observability, and pipeline reliability.

• Act as a trusted advisor to client stakeholders (architecture, data, risk, and business teams).
• Translate business requirements into technical architecture and delivery roadmaps.
• Lead workshops, solution design sessions, and platform adoption strategies.
• Support proposals, solutioning, and client innovations within regulated industries.

• Build and contribute to NTT DATA accelerators, frameworks, and reusable assets.
• Define best practices, reference architectures, and playbooks for enterprise Databricks adoption.
• Mentor junior engineers and support capability building across the CoE.

• 12+ years of experience in data engineering, platform engineering, or data architecture.
• 5+ years hands‑on experience with Databricks in large enterprise environments.
• Deep expertise in Apache Spark (Scala/Python), Delta Lake and Lakehouse architectures, Databricks workspace setup, cluster policies, and job orchestration.
• Strong experience with cloud platforms (AWS, Azure, or GCP).
• Experience implementing data governance, security, and compliance controls.
• Proven ability to design and deliver scalable, production‑grade data platforms.
• Strong client‑facing and communication skills.

• Experience in financial services or other regulated industries.
• Familiarity with data governance frameworks, regulatory reporting, and risk data environments.
• Databricks certifications (e.g., Data Engineer, Solutions Architect).
• Experience with real‑time streaming (Kafka, Structured Streaming), MLOps/model serving, data marketplace/data product architectures.
• Exposure to AI‑assisted development workflows and agent‑based tooling.

Candidates must be…