Solutions Architect 4

New
L
Longenecker & AssociatesEnvironmental Engineering
United StatesFull-TimeSenior
Salary not disclosed
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Job Details

Experience
At least 15 years of relevant experience or equivalent combination of education and experience.
Required Skills
PythonSQLSparkDatabricks

Requirements

  • Master’s Degree in a relevant field of study.
  • At least 15 years of relevant experience or equivalent combination of education and experience.
  • 7+ years designing, building, and operating Databricks workloads with medallion layer architecture.
  • Hands-on experience with Delta Lake, Unity Catalog, Spark Structured Streaming, Lakeflow (or DLT/Live Tables), Databricks SQL, MLflow, and Mosaic AI Model Serving.
  • Strong experience in cloud architecture (VPC/VNet, Security, S3/ADLS, KMS, etc.).
  • Proven experience migrating enterprise data workloads from legacy/on-prem data warehouse/lake to Databricks.
  • Production streaming and CDC experience.
  • Depth in security and governance, including Unity Catalog policies, classification, encryption, access auditing, and compliance-to-control translation.
  • Hands-on experience designing multi-tier Databricks architectures driven by data classification requirements.
  • Strong Python and SQL, Spark, and Notebooks skills.
  • Excellent verbal and written communication skills.

Responsibilities

  • Advise on the Databricks reference architecture covering Lakeflow, Delta Lake, Unity Catalog, Mosaic AI, Databricks SQL, and Databricks Apps.
  • Provide hands-on guidance on Databricks full-stack solution design.
  • Advise on design of both data movement and zero-copy patterns.
  • Guide platform migrations from legacy SQL and document stores onto Databricks and related cloud data platforms.
  • Recommend security, governance, and compliance-as-code strategies.
  • Advise on design of segregated/tiered data pool architectures aligned to data classification policies.
  • Recommend FinOps and performance standards, workload and cost management.
  • Mentor data engineers, analysts, and AI/ML teams, participate in architecture reviews and contribute to standards.
  • Work with information & cyber security and other teams as needed for compliance.
  • Evaluate emerging Databricks capabilities and recommend adoption strategies.
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