Databricks Solution Architect

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{
  "lists": [
    {
      "text": "Information Security Responsibilities",
      "content": "<li>Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols</li><li>Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets</li><li>Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)</li><li>Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information</li>"
    },
    {
      "text": "Role and Responsibilities",
      "content": "<div>\n<div>\n\n<li><span data-contrast=\"auto\"><span data-ccp-parastyle=\"List Bullet\">Architect and lead the implementation of an enterprise&nbsp;</span><span data-ccp-parastyle=\"List Bullet\">lakehouse</span><span data-ccp-parastyle=\"List Bullet\">&nbsp;on Databricks (Delta Lake, Unity Catalog, Photon, Workflows) across one or more major clouds (AWS, Azure, or GCP).</span></span></li>\n<li><span data-contrast=\"auto\"><span data-ccp-parastyle=\"List Bullet\">Design scalable batch and streaming data pipelines using </span><span data-ccp-parastyle=\"List Bullet\">PySpark</span><span data-ccp-parastyle=\"List Bullet\">, Spark SQL, Structured Streaming, and Delta Live Tables</span><span data-ccp-parastyle=\"List Bullet\">; establish</span><span data-ccp-parastyle=\"List Bullet\">&nbsp;patterns for ingestion from operational systems, event streams, and third-party APIs.</span></span></li>\n<li><span data-ccp-parastyle=\"List Bullet\">Define and enforce platform standards for data modeling (medallion architecture), CI/CD, code quality, testing, observability, and cost optimization.</span></li>\n<li><span data-ccp-parastyle=\"List Bullet\">Lead the governance strategy using Unity Catalog — fine-grained access control, data lineage, audit, and PII handling — in partnership with security and compliance.</span></li>\n<li><span data-contrast=\"auto\"><span data-ccp-parastyle=\"List Bullet\">Optimize</span><span data-ccp-parastyle=\"List Bullet\">&nbsp;Spark workloads for performance and&nbsp;</span><span data-ccp-parastyle=\"List Bullet\">cost:</span><span data-ccp-parastyle=\"List Bullet\">&nbsp;cluster sizing, Photon, autoscaling, file layout, Z-ordering, caching, and query tuning.</span></span></li>\n<li><span data-contrast=\"auto\"><span data-ccp-parastyle=\"List Bullet\">Partner with ML engineers and data scientists to operationalize models using </span><span data-ccp-parastyle=\"List Bullet\">MLflow</span><span data-ccp-parastyle=\"List Bullet\">, feature stores, and model serving on Databricks.</span></span></li>\n<li><span data-contrast=\"auto\"><span data-ccp-parastyle=\"List Bullet\">Own the cloud infrastructure footprint for the platform: networking, IAM, secrets, encryption, and Terraform/</span><span data-ccp-parastyle=\"List Bullet\">IaC</span><span data-ccp-parastyle=\"List Bullet\">&nbsp;for Databricks workspaces and supporting services.</span></span></li>\n<li><span data-ccp-parastyle=\"List Bullet\">Mentor a team of data engineers; lead architecture reviews, code reviews, and technical design sessions; raise the bar on engineering practices.</span></li>\n<li><span data-ccp-parastyle=\"List Bullet\">Engage with stakeholders across analytics, product, and finance to translate business needs into a roadmap for the data platform.</span><span data-ccp-props=\"{&quot;335559685&quot;:360,&quot;335559991&quot;:360}\">&nbsp;</span></li>\n\n</div>\n</div>"
    },
    {
      "text": "Preferred Qualifications",
      "content": "<div>\n<div>\n\n<li><span data-contrast=\"auto\"><span data-ccp-parastyle=\"List Bullet\">8+ years of data engineering experience, with 4+&nbsp;</span><span data-ccp-parastyle=\"List Bullet\">years</span><span data-ccp-parastyle=\"List Bullet\">&nbsp;building production workloads on Databricks.</span></span></li>\n<li><span data-contrast=\"auto\"><span data-ccp-parastyle=\"List Bullet\">Deep </span><span data-ccp-parastyle=\"List Bullet\">expertise</span><span data-ccp-parastyle=\"List Bullet\">&nbsp;in Apache Spark (</span><span data-ccp-parastyle=\"List Bullet\">PySpark</span><span data-ccp-parastyle=\"List Bullet\">&nbsp;and Spark SQL) — including performance tuning, partitioning strategy, and the Catalyst/Photon execution model.</span></span></li>\n<li><span data-ccp-parastyle=\"List Bullet\">Strong hands-on experience with Delta Lake, Unity Catalog, Databricks Workflows, and Delta Live Tables.</span></li>\n<li><span data-ccp-parastyle=\"List Bullet\">Production experience on at least one major cloud (AWS, Azure, or GCP), including networking, IAM, storage (S3/ADLS/GCS), and compute primitives.</span></li>\n<li><span data-contrast=\"auto\"><span data-ccp-parastyle=\"List Bullet\">Proficiency</span><span data-ccp-parastyle=\"List Bullet\">&nbsp;in Python and&nbsp;</span><span data-ccp-parastyle=\"List Bullet\">SQL;</span><span data-ccp-parastyle=\"List Bullet\">&nbsp;comfort with Scala is a plus.</span></span></li>\n<li><span data-ccp-parastyle=\"List Bullet\">Experience designing medallion (bronze/silver/gold) architectures and dimensional models for analytics.</span></li>\n<li><span data-contrast=\"auto\"><span data-ccp-parastyle=\"List Bullet\">Strong CI/CD and DevOps practice: Git, Terraform, Databricks Asset Bundles or </span><span data-ccp-parastyle=\"List Bullet\">dbx</span><span data-ccp-parastyle=\"List Bullet\">, automated testing of data pipelines.</span></span></li>\n<li><span data-contrast=\"auto\"><span data-ccp-parastyle=\"List Bullet\">Track record</span><span data-ccp-parastyle=\"List Bullet\">&nbsp;of leading technical projects end-to-end and mentoring engineers.</span></span></li>\n<li><span data-ccp-parastyle=\"List Bullet\">Excellent written and verbal communication; able to drive alignment with both engineering and business stakeholders.</span><span data-ccp-props=\"{&quot;335559685&quot;:360,&quot;335559991&quot;:360}\">&nbsp;</span></li>\n\n</div>\n</div>"
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    "team": "Data & Analytics: Data Engineering",
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