Lead Data Engineer -- Sunnyvale, CA/ Austin, TX

Sunnyvale, CA, US • Posted 16 hours ago • Updated 16 hours ago
Contract W2
12 Months
No Travel Required
On-site
55+
Fitment

Dice Job Match Score™

⭐ Evaluating experience...

Job Details

Skills

  • Amazon S3
  • Amazon Web Services
  • Apache Spark
  • Business Intelligence
  • Continuous Integration
  • Data Migration
  • Data Lake
  • Bigdata
  • PySpark
  • SQL
  • CI/CD
  • Git
  • Devops

Summary

Hi  

Greetings from Smart Folks…!!!

   

My name is Kumar we have a job opportunity for you as Lead Data Engineer one of our client based at Sunnyvale, CA/ Austin, TX (Onsite) find the Job description below, if you are available and interested, please send us your word copy of your resume with following detail to  Or please call me on  to discuss more about this position.  

                                   

Job Title: Lead Data Engineer

Location: Sunnyvale, CA/ Austin, TX (Onsite)

Duration: 06 – 12 Months

Start Date: ASAP

 

Job Details:        

 

Role Overview

We are seeking a highly skilled and strategic Lead Data Engineer with strong expertise in PySpark Apache Iceberg, Trino, and modern Data Lakehouse architectures. The ideal candidate will be responsible for designing and driving enterprise-scale data platforms that enable analytics, AI/ML, and business intelligence across global organizations.

This is a strategic customer-facing role requiring strong technical leadership, architecture expertise, stakeholder management, and the ability to influence data transformation initiatives.

 

Key Responsibilities

  • Lead the architecture, design, and implementation of large-scale distributed data platforms.
  • Build and optimize high-performance data pipelines using PySpark and distributed computing frameworks.
  • Design and manage Data Lakehouse solutions using Apache Iceberg for schema evolution, time travel, partition optimization, and data governance.
  • Architect and optimize federated query solutions using Trino across multiple data sources.
  • Drive enterprise data migration and modernization initiatives from traditional warehouses to Lakehouse architectures.
  • Partner with business stakeholders, product owners, architects, and customer teams to translate business requirements into scalable technical solutions.
  • Establish best practices for data modelling, performance tuning, security, governance, and observability.
  • Mentor a team of data engineers and provide technical leadership across delivery streams.
  • Evaluate and incorporate emerging technologies in Data Engineering, Analytics, and AI.
  • Support pre-sales discussions, solution proposals, estimations, and customer presentations.

 

Technical Skills

  • 10+ years of experience in Data Engineering and Big Data ecosystems.
  • Expert knowledge of PySpark and Spark SQL.
  • Strong hands-on experience with Apache Iceberg.
  • Strong experience with Trino (Presto) query engine.
  • Experience building large-scale batch and near-real-time pipelines.
  • Strong SQL skills and query optimization expertise.
  • Experience with Data Lake technologies and cloud-based analytics platforms.
  • Knowledge of data modelling and distributed storage concepts.
  • Experience with orchestration tools such as Airflow or equivalent.
  • Experience working with file formats such as Parquet, ORC, and Avro.
  • Exposure to CI/CD, Git, DevOps, and Infrastructure as Code practices.

 

Experience in one or more cloud platforms:

  • AWS (EMR, Glue, S3, Athena, Lake Formation)
  • Azure (Databricks, Data Factory, ADLS)
  • Google Cloud Platform (Dataproc, BigQuery, GCS)

 

Leadership & Strategic Expectations

  • Ability to engage with senior customer stakeholders.
  • Drive technical roadmaps and platform modernization strategies.
  • Lead architecture reviews and governance forums.
  • Identify opportunities for automation, optimization, and AI-driven solutions.
  • Strong communication and presentation skills.
  • Ability to influence decisions across engineering, product, and business teams.

 

 

 

 

Shravan Kumar Kataboina

Team Lead – Talent Acquisition
E-mail:

 

A: 

McKinney, Texas (USA. INDIA. Mexico, UK)

P: 

(+1)  Ext - 104 F: 

 

 

  

Smart Folks Inc (A Certified MBE & WBE): Work with the folks, Who are Smart

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90989779
  • Position Id: 9012830
  • Posted 16 hours ago
Contact the job poster
Shravankumar Kataboina

Shravankumar Kataboina

Recruiter @ Smart Folks Inc.
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