Lead Data Engineer Databricks

Job not on LinkedIn

August 13

🤠 Texas – Remote

Although this job is listed in Texas, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

Apply Now

Receive Emails with Similar Jobs

Allata

WebsiteLinkedInAll Job Openings

B2B • Consulting • Technology

Allata is a global consulting firm that helps businesses achieve digital excellence by crafting unique customer experiences, identifying revenue-generating opportunities, and improving operational efficiencies. They offer a wide range of services including strategic services, technology and cloud solutions, data and insights, and artificial intelligence development. Allata's approach is experience-led, strategy-aligned, tech-enabled, and data-driven. They work across multiple industries such as automotive, financial services, health and life sciences, high tech, logistics and transportation, among others, to drive modernization, personalization, innovation, and efficiency. With a team of former IT leaders and consulting professionals, Allata guides clients through complex digital landscapes to deliver value-based outcomes and help organizations integrate digital strategies seamlessly into their overall business strategies.

201 - 500 employees

🤝 B2B

📋 Description

• Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices. Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance—to deliver measurable results and build lasting partnerships. We are seeking a skilled Lead Data Engineer Databricks to contribute to transformative enterprise data platform projects focused on developing data pipelines and logic engines to manage ingest, staging, and multi-tier data product modeling. Additionally, this includes but is not limited to data enrichment using various OEM-specific data warehouse and data lake house platform implementations for consumption via analytics clients. This role requires full life cycle design, build, deployment and optimization data products for multiple large enterprise industry vertical-specific implementations by processing datasets through a defined series of logically conformed layers, models, and views.

🎯 Requirements

• Collaborate in defining the overall architecture of the solution. This includes knowledge of modern Enterprise Data Warehouse and Data Lakehouse architectures that implement Medallion or Lamda architectures • Design, develop, test, and deploy processing modules to implement data-driven rules using SQL, Stored Procedures, and Pyspark. • Understands and owns data product engineering deliverables relative to a CI-CD pipeline and standard devops practices and principles • Build and optimize data pipelines on platforms like Databricks, SQL Server, or Azure Data Fabric. • Current knowledge of an using modern data tools like (Databricks,FiveTran, Data Fabric and others); Core experience with data architecture, data integrations, data warehousing, and ETL/ELT processes • Applied experience with developing and deploying custom whl and or in session notebook scripts for custom execution across parallel executor and worker nodes • Applied experience in SQL, Stored Procedures, and Pysparkbased on area of data platform specialization. • Strong knowledge of cloud and hybrid relational database systems, such as MS SQL Server, PostgresSQL, Oracle, Azure SQL, AWS RDS, Auroraor a comparable engine. • Strong experience with batch and streaming data processing techniques and file compactization strategies. • Automation experience with CICD pipelines to support deployment and integration workflows including trunk-based development using automation services such as Azure DevOps, Jenkins, Octopus. • Advanced proficiency in Pyspark for advanced data processing tasks. • Advance proficiency in spark workflow optimization and orchestration using tools such as Asset Bundles or DAG (Directed Acyclic Graph) orchestration. • Ability to identify, troubleshoot, and resolve complex data issues effectively. • Strong teamwork, communication skills and intellectual curiosity to work collaboratively and effectively with cross-functional teams. • Commitment to delivering high-quality, accurate, and reliable data products solutions. • Willingness to embrace new tools, technologies, and methodologies. • Innovative thinker with a proactive approach to overcoming challenges.