Data Lead - REMOTE

Posted 2 Days Ago
Hiring Remotely in Los Angeles, CA, USA
In-Office or Remote
Senior level
Information Technology
The Role
Lead design and implementation of enterprise data platforms using AWS and Databricks. Architect scalable, secure data pipelines; drive Azure-to-AWS migrations; optimize performance and SLAs; mentor engineers; ensure data quality, governance, and security; participate in Agile planning and technical solution design.
Summary Generated by Built In
Job Description

Hi,

 

Job Title: Data Lead

Duration : Longterm Contract 

Location: Remote

 

We have below longterm job opening.

If you are interested , Please send your updated resume with below details. 

 

Your current location:

Visa status:

Availability:

Expected rate all inc on c2c /1099 :

 

Job Summary : 

We are seeking an experienced Data Lead with strong expertise in AWS and Databricks to lead the design, development, and modernization of enterprise data platforms. The ideal candidate will have hands-on experience building scalable data solutions in AWS and leading technical teams through cloud-based data transformation initiatives.

 

Experience with Microsoft Azure is highly desirable, as the organization is currently migrating its data platform from Azure to AWS. Experience on performance testing is required -

 

Key Responsibilities

 

Lead the design and implementation of modern data platforms using AWS and Databricks.

Architect scalable, secure, and high-performance data pipelines.

Drive cloud migration initiatives from Azure to AWS.

Collaborate with business stakeholders, architects, and engineering teams to define data strategies.

Mentor and guide data engineers while ensuring adherence to best practices.

Optimize ETL/ELT processes, data models, and data lake architectures.

Ensure data quality, governance, security, and performance across the platform.

Support Agile delivery and participate in technical planning and solution design.

Required Skills

 

8+ years of experience in Data Engineering, Data Architecture, or related roles.

Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related technical field.

Strong hands-on experience with AWS data services.

Extensive experience with Databricks, Apache Spark, and Delta Lake.

Experience on performance testing and performance optimization of data pipelines, Databricks workloads, Spark jobs and data platforms.

Experience establishing performance benchmarks, SLAs, KPIs, and capacity planning for enterprise data platforms.

Proficiency in SQL and Python.

Experience designing and implementing enterprise-scale data pipelines.

Strong understanding of data warehousing, data lakes, and modern data architectures.

Excellent leadership, communication, and stakeholder management skills.

 

Preferred Skills

 

Experience with Microsoft Azure data services (ADF, Synapse, ADLS, etc.).

Prior experience leading Azure-to-AWS migration projects.

Knowledge of CI/CD, Infrastructure as Code (IaC), and DevOps practices.

Experience with orchestration tools such as Apache Airflow or AWS Step Functions.

AWS and/or Databricks certifications are a plus.

 

Nice to Have

 

Experience working in large enterprise environments.

Knowledge of data governance, data security, and compliance best practices.

Strong analytical, problem-solving, KumarDataecision-making skills.

 

Thanks & Regards,

Girish Kumar

Additional Information

All your information will be kept confidential according to EEO guidelines.

Skills Required

  • 8+ years of experience in Data Engineering, Data Architecture, or related roles
  • Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or related technical field
  • Hands-on experience with AWS data services
  • Extensive experience with Databricks
  • Extensive experience with Apache Spark
  • Experience with Delta Lake
  • Experience in performance testing and performance optimization of data pipelines, Databricks workloads, and Spark jobs
  • Experience establishing performance benchmarks, SLAs, KPIs, and capacity planning for enterprise data platforms
  • Proficiency in SQL
  • Proficiency in Python
  • Experience designing and implementing enterprise-scale data pipelines
  • Strong understanding of data warehousing, data lakes, and modern data architectures
  • Excellent leadership, communication, and stakeholder management skills
  • Experience with Microsoft Azure data services (ADF, Synapse, ADLS, etc.)
  • Prior experience leading Azure-to-AWS migration projects
  • Knowledge of CI/CD, Infrastructure as Code (IaC), and DevOps practices
  • Experience with orchestration tools such as Apache Airflow or AWS Step Functions
  • AWS and/or Databricks certifications
  • Experience working in large enterprise environments
  • Knowledge of data governance, data security, and compliance best practices
  • Strong analytical, problem-solving, and decision-making skills
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The Company
HQ: Chatsworth, CA
48 Employees

What We Do

Cystems Logic is gaining a competitive edge in today's economy and its all about speed and flexibility. Companies of small to large size and complexity need to adapt swiftly to evolving global business trends and opportunities. Cystems Logic supports rapid innovation to drive your business process excellence for increased productivity and profitability. We are here to lower to cost of using costly technology at increase Return on Investment (ROI). Our Strength is our talented team with solid foundation in the ERP arena. We are emerging providers of SAP new implementation, maintenance & support for small to large size companies in specific industry domain.

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