Cloud Data Platform Engineer

Deep expertise in Azure/AWS big data & analytics technologies, including Databricks, real time data ingestion, data warehouses, serverless ETL, No SQL databases, DevOps, Kubernetes, virtual machines, web/function apps, monitoring and security tools. Job Responsibilities: Databricks Subject Matter Expert (SME) plays a pivotal role in admin, security best practices, platform sustain support, new tools adoption, cost optimization, supporting new patterns/design solutions using the Databricks platform.

Title: Cloud Data Platform Engineer
Work Location: Richardson, TX 75082
Duration: 6 months

Job Responsibilities:

• Databricks Subject Matter Expert (SME) plays a pivotal role in admin, security best practices, platform sustain support, new tools adoption, cost optimization, supporting new patterns/design solutions using the Databricks platform. Here s a breakdown of typical
• Architect and optimize big data pipelines using Apache Spark, Delta Lake, and Databricks-native tools.
• Design scalable data ingestion and transformation workflows, including batch and streaming (e.g., Kafka, Spark Structured Streaming).
• Create integration guidelines to configure and integrate Databricks with other existing security tools relevant to data access control.
• Implement data security and governance using Unity Catalog, access controls, and data classification techniques.
• Support migration of legacy systems to Databricks on cloud platforms like Azure, AWS, or GCP.
• Manage cloud platform operations with a focus on FinOps support, optimizing resource utilization, cost visibility, and governance across multi-cloud environments.
• Collaboration & Advisory
• Act as a technical advisor to data engineering and analytics teams, guiding best practices and performance tuning.
• Partner with architects and business stakeholders to align Databricks solutions with enterprise goals.
• Lead proof-of-concept (PoC) initiatives to demonstrate Databricks capabilities for specific use cases.
• Strategic & Leadership Contributions
• Mentor junior engineers and promote knowledge sharing across teams.
• Contribute to platform adoption strategies, including training, documentation, and internal evangelism.
• Stay current with Databricks innovations and recommend enhancements to existing architectures.
• Specialized Expertise (Optional but Valuable)
• Machine Learning & AI integration using MLflow, AutoML, or custom models.
• Cost optimization and workload sizing for large-scale data processing.
• Compliance and audit readiness for regulated industries.

Qualifications

• At least 12 years of experience in IT cloud infrastructure, architecture and operations, including security, with at least 5 years in a Platform admin role
• Strong understanding of data security principles and best practices.
• Expertise in Databricks platform, security features, Unity Catalog, and data access control mechanisms.
• Experience with data classification and masking techniques.
• Strong understanding of cloud cost management, with hands-on experience in usage analytics, budgeting, and cost optimization strategies across multi-cloud platforms.
• Strong knowledge of cloud architecture, design, and deployment principles and practices, including microservices, serverless, containers, and DevOps.
• Deep expertise in Azure/AWS big data & analytics technologies, including Databricks, real time data ingestion, data warehouses, serverless ETL, No SQL databases, DevOps, Kubernetes, virtual machines, web/function apps, monitoring and security tools.
• Deep expertise in Azure/AWS networking and security fundamentals, including network endpoints & network security groups, firewalls, external/internal DNS, load balancers, virtual networks and subnets.
• Proficient in scripting and automation tools, such as PowerShell, Python, Terraform, and Ansible.
• Excellent problem-solving, analytical, and communication skills, with the ability to explain complex technical concepts to non-technical audiences.
• Certifications in Azure/AWS/Databricks platform administration, networking and security are preferred.
• Strong self-organization, time management and prioritization skills
• A high level of attention to detail, excellent follow through, and reliability
• Strong collaboration, teamwork and relationship building skills across multiple levels and functions in the organization
• Ability to listen, establish rapport, and credibility as a strategic partner vertically within the business unit or function, as well as with leadership and functional teams
• Strategic thinker focused on business value results that utilize technical solutions
• Strong communication skills in writing, speaking, and presenting
• Capable to work effectively in a multi-tasking environment.
  

Must Have Skills:

• Data Bricks Admin
• Data Bricks
• Support experience
• Infrastructure as a code (IAC)

Nice to have skills:

• Databricks SME