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Open nowPosted 57 days ago

Databricks Architect (Cloud, Data & AI)

KData Inc.30 open roles

Where
Brampton East, Ontario, Canada
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Your applicationOpen nowDatabricks Architect (Cloud, Data & AI)KData Inc. · Brampton East, Ontario, Canada
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This job: posted 57 days ago

The posting

Role Overview We are seeking a Databricks Architect to lead the vision, design, and execution of large-scale, enterprise-grade Databricks Lakehouse architectures across multi-cloud and hybrid environments. In this role, you will advise executive leadership (CIOs/CTOs), drive pre-sales and technical solution design, and lead hands-on architecture for modern data and GenAI platforms. The ideal candidate brings 12+ years of technology experience, combining deep technical expertise in Databricks, multi-cloud strategy (AWS, Azure, GCP), TOGAF governance, data virtualization, and hands-on experience guiding enterprise modernization initiatives. Key Responsibilities 1. Enterprise Solution Architecture & Design Lead architectural design and hands-on technical oversight for Databricks Lakehouse, Delta Lake, streaming pipelines, and AI-ready platforms. Define enterprise infrastructure reference architectures spanning cloud networking, compute, storage, security, observability, platform resiliency, disaster recovery, and compliance. Build end-to-end multi-cloud data integration layers and dynamic pipelines connecting legacy systems, cloud data lakes, and modern AI/ML frameworks. Establish governance models, architecture guiding principles, and standard frameworks (e.g., TOGAF) for enterprise platforms. Drive data virtualization and semantic layer strategies to streamline business intelligence and self-service analytics. 2. Client Engagement & Pre-Sales Leadership Serve as a trusted advisor to C-suite executives and CIOs on cloud modernization, data platform resiliency, cost optimization, and AI-enabled operational transformations. Partner with Sales and Account teams on pre-sales activities, RFP responses, solution design, and high-value deal shaping. Conduct discovery workshops, present technical blueprints (SAD, DDD), and defend technical solutions to enterprise clients. 3. AI & Data Engineering Modernization Architect solutions incorporating Generative AI, automated document parsing/reformatting pipelines, advanced analytics, and machine learning models within the Databricks ecosystem. Oversee migrations from legacy databases/Big Data infrastructure (Hadoop, Oracle, Cloudera, Netezza) to modern cloud-native Lakehouses (AWS, Azure, GCP) using structured acceleration frameworks (e.g., AWS MAP). Establish robust security controls, encryption protocols, enterprise authentication mechanisms (Unity Catalog, Kerberos), and performance tuning for high-throughput environments. Requirements Required Qualifications & Experience Experience: 12+ years of technology experience in Enterprise Infrastructure, Data Engineering, Multi-Cloud Architecture, and AI Strategy. Databricks Expertise: Strong hands-on architectural experience with Databricks Lakehouse, Delta Lake, Spark, Unity Catalog, and AI/ML integrations. Multi-Cloud Expertise: Proven track record architecting and deploying solutions across AWS, Azure, and GCP platforms. Legacy Modernization: Solid background transitioning traditional database/Hadoop environments (Oracle RAC/ASM, Cloudera/Hortonworks, Netezza, HBase) into cloud-native architectures. Domain Exposure: Architecture experience supporting industries such as Healthcare, Insurance & Risk, Banking & Finance, Media, Retail, or Life Sciences. Technical Stack & Skills Databases & Data Platforms: Databricks, Delta Lake, Snowflake, Redshift, BigQuery, ADLS, S3, Blob Storage, Oracle (RAC/Grid), Aurora, Netezza, Postgres, MySQL, SQL Server, HBase. Big Data & Data Integration: Apache Spark, Hadoop Ecosystem (HDFS, Hive, YARN, Sqoop, Oozie, Pig, Atlas, Ranger), Kafka, Azure Data Factory, AWS Glue, NiFi, Denodo (Data Virtualization), Informatica (IICS/PowerCenter), Syncsort. AI & Advanced Analytics: Generative AI pipeline design, Dataiku, AtScale, PowerBI. Observability, Operations & Tools: Grafana, SumoLogic, Git/GitStash, Jira, Bamboo, DB Visualizer. Languages & Scripting: Python, SQL, PL/SQL, Unix Shell Scripting, Perl Scripting. DevOps & Infrastructure: Terraform, AWS CloudFormation (CFT), CodeDeploy, CI/CD pipelines, Linux (RedHat), Windows AD. Education Master’s or Bachelor’s degree in Business Administration, Computer Science, Software Engineering, or a related technical discipline.

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