Lorven technologies
Lorven technologies

73 Lorven Technologies Data Jobs Hiring Near You

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Data Engineer Location: Plano, TX (Onsite) looking for an experienced Data Engineer to build and maintain scalable data pipelines and analytics solutions leveraging AWS services such as Athena ...

AWS Data Engineer

$117K - $140K/yr

... Information Technology, Computer Engineering or equivalent * 5+ years of experience in data ... engineering and analytics on modern data platforms * 3+ years' extensive experience with DBT or ...

Data Scientist

Tampa, FL · On-site

$130K - $140K/yr

Data Scientist Location: Austin, TX 78757 (or) Tampa, FL 33602 - Onsite Full-Time As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for ...

Data Engineer (IC3) (Strong SQL)

$117K - $140K/yr

Evaluate and select appropriate technologies, frameworks, and tools to build scalable and reliable data infrastructure. Optimize data engineering systems and processes to handle large-scale data sets ...

Data Scientist Location: Austin, TX 78757 (or) Tampa, FL 33602 - Remote Full-Time As Data Scientist, you will spearhead the end-to-end development of sales forecasting and demand sensing models for ...

Business Data Analyst

San Diego, CA · On-site

$60 - $65/hr

Business Data Analyst Location: San Diego, CA Experience Level: Senior Contract: 12 Months About the Role: We are looking for a Business Data Analyst who combines strong analytical thinking with ...

Showing results 41-60

Senior Data Engineer / Data Engineering Lead - Foster City, CA - Full Time

Lorven Technologies

Foster City, CA • On-site

$130K - $157K/yr

Full-time

Posted 10 days ago


Job description

Our client seeks anSenior Data Engineer for a Full Time project in Foster City, CA.Below is the detailed requirement
Job Title: Senior Data Engineer
Work location : Foster City, CA
Duration: Full Time
Job Summary:
Hiring Data Engineering Lead with strong expertise in Databricks on AWS, MDM, and enterprise data integration. Lead the design and delivery of modern data platforms that enable trusted, governed, and scalable data consumption across business functions. Experience in cloud-based data engineering, middleware integrations, data governance, and enterprise-scale analytics solutions. Work closely with business, architecture, analytics, and engineering teams to drive data modernization initiatives. This role will be instrumental in enabling the enterprise data modernization journey. Establish a scalable and governed data foundation that supports advanced analytics, AI/ML initiatives, and business decision-making. Success in this role will directly improve data quality, consistency, and accessibility across critical business domains. The architecture and integration patterns defined by this role will serve as a foundation for future data and digital transformation programs.
Job Description:
  • Bachelor's degree preferably in Computer Science, Information technology, Computer Engineering, or related IT discipline or equivalent experience with 12+ Minimum Experience
  • 10+ years of experience in Data Engineering, Data Integration, or Data Platform delivery; hands-on experience with Databricks on AWS; Apache Spark, PySpark, Delta Lake, and Lakehouse architecture
  • Experience designing and implementing enterprise-scale data pipelines; Strong understanding of AWS services such as S3, Glue, Lambda, Redshift, IAM, and CloudWatch
  • Hands-on experience with MDM implementations and integrations; Experience with data quality, data governance, lineage, and master data management processes
  • Strong experience integrating enterprise systems using middleware platforms such as MuleSoft, Boomi, Kafka, or API-based integrations
  • Experience working with structured, semi-structured, and unstructured datasets; Strong SQL and Python development skills
  • Experience with Agile methodologies and DevOps practices; Experience leading distributed teams and managing stakeholder communications
  • Bachelor's Degree or higher in Information Systems, Computer Science, or equivalent experience
  • Skills / Tech Stack Snapshot - Databricks on AWS, Apache Spark, PySpark, Delta Lake, AWS S3, Glue, Lambda, Redshift, MDM Platforms (Informatica MDM, Reltio, Profisee or equivalent), Data Integration & ETL/ELT Frameworks, Middleware Technologies (MuleSoft, Boomi, Kafka, API-led Integrations), Data Warehousing & Data Lake Architecture, Data Governance, MDM, Data Quality & Metadata Management, SQL, Python, Azure DevOps, Jira, Confluence, CI/CD, Agile Delivery

Job / Role Description
  • Lead the design and implementation of Databricks-based data platforms on AWS; Architect scalable Lakehouse solutions supporting enterprise analytics workloads
  • Design and develop complex ETL/ELT pipelines using Databricks, Spark, and Cloud-native services; Drive MDM strategy, implementation, and integration across business applications and data platforms
  • Define data integration patterns using APIs, middleware, event-driven architectures, and messaging frameworks; Establish data governance, metadata management, and data quality frameworks
  • Collaborate with business stakeholders to understand data requirements and translate them into technical solutions; Optimize data processing performance, scalability, and operational monitoring
  • Define CI/CD processes and deployment standards for data engineering assets; Mentor engineering teams and provide technical leadership throughout the project lifecycle
  • Support architecture reviews, solution design discussions, and technical decision-making; Ensure compliance with organizational standards, security requirements, and best practices
  • Facilitate architecture reviews, workshops, and stakeholder discussions; Ability to communicate complex technical concepts to business and executive stakeholders;
  • Stakeholder Management - Build strong relationships with business, IT, and external partners; Manage competing priorities and drive consensus among stakeholders; Demonstrate customer-centric and consultative engagement skills.
  • Leadership Skills - Lead cross-functional and geographically distributed teams; Mentor and guide engineers and junior architects; Influence technical decisions through collaboration
  • Problem Solving & Analytical Thinking - Identify root causes of complex data and integration challenges; Evaluate multiple solution options and recommend optimal approaches; Strong troubleshooting and performance optimization capabilities

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About Lorven technologies

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Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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