Principal Architect - Databricks

service analytics and natural language data querying. Stakeholder & Delivery Leadership Lead architecture reviews, technical workshops, and proof-of-concept engagements with C-suite and VP-level client stakeholders. Author solution architecture documents, reference architectures, and RFP/RFI responses for Databricks-led pursuits. Define center-of-excellence (Co E) standards, reusable accelerators, and Databricks best-practice playbooks for the Unisys Data & AI practice. Mentor and upskill a team of data architects and engineers; drive Databricks certification paths across the practice. Partner with Databricks field engineering on joint go-to-market opportunities and co-delivery engagements. #LI-SS1 You will be successful in this role if you have: 12+ years of experience in data architecture, data engineering, or enterprise analytics — with at least 5 years focused on Databricks platform delivery. Databricks Certified Data Engineer Professional or Databricks Certified Associate Developer for Apache Spark — required. Additional Databricks certifications strongly preferred. Expert-level proficiency in Apache Spark (Py Spark, Scala Spark) — performance tuning, DAG optimization, shuffle management, and broadcast strategies. Deep hands-on expertise with Delta Lake: ACID transactions, Z-ordering, OPTIMIZE, VACUUM, time travel, and schema enforcement/evolution. Proven production experience with Delta Live Tables (DLT): expectations, quarantine patterns, SCD Type 1/2 in DLT, and pipeline monitoring. Strong Unity Catalog implementation experience: catalog/schema/table hierarchy design, privilege inheritance, service principals, and attribute-based access control. Experience architecting Databricks on at least one major cloud: Azure Databricks (ADLS Gen2, Azure AD), AWS (S3, IAM Instance Profiles, Glue Catalog), or GCP (GCS, Dataproc comparison). Proficiency in infrastructure-as-code for Databricks: Terraform (databricks provider), Databricks Asset Bundles (DABs), and CI/CD integration (Git Hub Actions, Azure Dev Ops, Jenkins). Hands-on MLflow experience: experiment tracking, model registry, model serving, and custom pyfunc models. Strong SQL expertise for Databricks SQL / Photon query optimization, materialized views, and lakehouse serving patterns. Experience with real-time streaming architectures: Kafka + Databricks Structured Streaming, Autoloader, and watermarking strategies. Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, blood type, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law. Local employment practices and rights may vary by jurisdiction and are subject to applicable local laws. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at Global Recruiting@unisys.com. US job seekers can find more information about Unisys’ EEO commitment here. Unisys is a global technology solutions company that powers breakthroughs for the world’s leading organizations. Our solutions – cloud, AI, digital workplace, logistics and enterprise computing – help our clients challenge the status quo and unlock their full potential. To learn how we have been helping clients push what’s possible for more than 150 years, visit unisys.com and follow us on Linked In. https://www.unisys.com/unisys-legal/recruiting Notice for U.S. Applicants: Unisys is an Equal Opportunity Employer – Minorities/ Females/ Veterans/ Individuals with Disabilities/ Sexual Orientation/ Gender Identity