CLOUD AMAZE - DW Architect (Practice)

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    "ExternalDescriptionStr": "<p style=\" margin-bottom: 0in\"><span>Job Title: Data &amp; AI Solution Architect – Databricks</span></p>\n<p style=\" margin-bottom: 0in\"><span>Location: NY/NJ/PA</span></p>\n<p style=\" margin-bottom: 0in\"><span>Work mode: Hybrid (3 days onsite must)</span></p>\n<p style=\" margin-bottom: 0in\"><span>Duration: FTE</span></p>\n<p style=\" margin-bottom: 0in\">&nbsp;</p>\n<p style=\" margin-bottom: 0in\"><span>Job Description</span></p>\n<p style=\" margin-bottom: 0in\"><span><span>This is a Senior role with Hand-on experience at the intersection of distributed data engineering, open lakehouse architecture, and production AI. You will own the Databricks Data Intelligence Platform strategy — designing unified lakehouse architectures across data engineering, analytics, ML, and agentic AI workloads. You will translate complex enterprise data challenges into scalable, governed, and cost-efficient Databricks solutions while influencing technical direction at the executive level and building trusted advisor relationships with engineering and data science leadership.</span></span></p>\n<p style=\" margin-bottom: 0in\">&nbsp;</p>\n<p style=\" margin-bottom: 0in\"><span>Key Responsibilities are:</span></p>\n<ul style=\"list-style-type: disc;  padding-left: 24px\">\n <li>\n  <p style=\" margin-bottom: 0in;  margin-right: 0in;  margin-top: 0in\"><span><span>Strategic planning and hands-on engineering of Snowflake/Big Data and cloud environments that supports our clients’ advanced analytics and data science initiatives.</span></span></p></li>\n <li>\n  <p style=\" margin-bottom: 0in;  margin-right: 0in;  margin-top: 0in\"><span><span>Provide support in defining the scope and sizing of work</span></span></p></li>\n <li>\n  <p style=\" margin-bottom: 0in;  margin-right: 0in;  margin-top: 0in\"><span><span>Working closely with various enterprise architects Information security teams, Data management team, to ensure the architected solution meets all the needs of a customer, from a functionality perspective and IT solution engineering perspective.</span></span></p></li>\n <li>\n  <p style=\" margin-bottom: 0in; 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 margin-right: 0in;  margin-top: 0in\"><span>Overall, 10-15 years of experience in Solution Architecture, Data Management, Data Lake and Lakehouse design and development.</span></p></li>\n <li>\n  <p style=\" margin-bottom: 0in;  margin-right: 0in;  margin-top: 0in\"><span><span>Databricks (expert): Delta Lake, Unity Catalog, Lakeflow / Delta Live Tables, Databricks SQL, Photon, Serverless, Auto Loader, Databricks Apps, Vector Search</span></span></p></li>\n <li>\n  <p style=\" margin-bottom: 0in;  margin-right: 0in;  margin-top: 0in\"><span><span>Apache Spark (expert): PySpark and Scala; internals — DAG execution, shuffle optimisation, memory tuning, adaptive query execution, Structured Streaming</span></span></p></li>\n <li>\n  <p style=\" margin-bottom: 0in;  margin-right: 0in;  margin-top: 0in\"><span><span>AI / ML stack (advanced): MLflow (tracking, registry, serving, tracing), Feature Store, Model Serving, AutoML; production ML lifecycle end-to-end</span></span></p></li>\n <li>\n  <p style=\" margin-bottom: 0in;  margin-right: 0in;  margin-top: 0in\"><span><span>GenAI &amp; agents (proficient): RAG pipeline design, Databricks Agent Bricks and Agent Framework, Vector Search, LangChain, MLflow agent tracing, LLM integration (Claude, GPT)</span></span></p></li>\n <li>\n  <p style=\" margin-bottom: 0in;  margin-right: 0in;  margin-top: 0in\"><span><span>Data engineering (advanced): dbt on Databricks, Lakeflow Jobs, Kafka / Structured Streaming, Fivetran, Airbyte — batch and real-time ingestion at enterprise scale</span></span></p></li>\n <li>\n  <p style=\" margin-bottom: 0in;  margin-right: 0in;  margin-top: 0in\"><span><span>Cloud (advanced in one, working in others): AWS (S3, Glue, EMR, Step Functions), Azure (ADLS Gen2, ADF, Event Hubs), GCP (GCS, Dataflow, BigQuery)</span></span></p></li>\n <li>\n  <p style=\" margin-bottom: 0in;  margin-right: 0in;  margin-top: 0in\"><span><span>Data modelling (advanced): Medallion architecture (Bronze / Silver / Gold), data vault 2.0, Kimball dimensional; open table formats (Delta Lake, Apache Iceberg, Apache Hudi)</span></span></p></li>\n <li>\n  <p style=\" margin-bottom: 0in;  margin-right: 0in;  margin-top: 0in\"><span><span>Security &amp; governance: Unity Catalog RBAC, column masking, row-level security, audit logs, private endpoints, SOX / GDPR / HIPAA compliance patterns</span></span></p></li>\n <li>\n  <p style=\" margin-bottom: 0in;  margin-right: 0in;  margin-top: 0in\"><span><span>DevOps &amp; IaC: Git, CI/CD for Databricks (Databricks Asset Bundles, GitHub Actions), Terraform Databricks provider, Databricks CLI</span></span></p></li>\n <li>\n  <p style=\" margin-bottom: 0in;  margin-right: 0in;  margin-top: 0in\"><span><span>Orchestration: Lakeflow Jobs, Apache Airflow with Databricks operator, Prefect — dependency management, multi-task job design, retry and alerting patterns</span></span></p></li>\n</ul>",
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