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Senior Data Engineer with Databricks Exp. - 100% Remote

September 26, 2026

Job Title: Senior Databricks Engineer

Location: 100% Remote

Interview Process: Video (2 Rounds)

Job Description:

Job Description Lead/Senior Databricks Data Engineer

Position: Lead Databricks Data Engineer / Databricks Architect

Experience: 10+ Years
Location: Remote

Job Summary

We are looking for an experienced Lead Databricks Data Engineer / Databricks Architect with 10+ years of overall experience in Data Engineering and strong hands-on expertise in Databricks, Apache Spark, PySpark, SQL, Delta Lake, and cloud-based data platforms.

The candidate will be responsible for designing and implementing scalable Lakehouse architectures, enterprise data pipelines, data integration solutions, governance frameworks, and high-performance analytics platforms using Databricks.

Key Responsibilities

Design and develop scalable data engineering solutions using Databricks and Lakehouse architecture.
Build robust ETL/ELT pipelines using PySpark, Spark SQL, Python, and SQL.
Design and implement Bronze, Silver, and Gold/Medallion architecture.
Develop and optimize Delta Lake tables, including MERGE, schema evolution, Change Data Feed, and incremental processing.
Build batch and real-time/streaming pipelines using Structured Streaming, Auto Loader, and Lakeflow.
Develop and manage Databricks Jobs/Workflows for pipeline orchestration, scheduling, dependencies, retries, and monitoring.
Implement enterprise data governance using Unity Catalog, including access control, data lineage, auditing, catalogs, schemas, and external locations. Unity Catalog provides centralized governance, access control, lineage, and auditing across Databricks data and AI assets. ()
Perform Spark and Databricks performance tuning, including cluster configuration, partitioning, caching, query optimization, Photon, and workload optimization.
Design data models supporting Data Warehousing, BI, Analytics, and AI/ML workloads.
Integrate Databricks with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Work with cloud services such as AWS S3, Azure ADLS Gen2, Azure Data Factory, AWS Glue, Synapse, Event Hubs/Kafka/Kinesis, as applicable.
Implement CI/CD pipelines using Git, Azure DevOps/GitHub/Jenkins and Databricks deployment capabilities.
Work with Terraform/IaC for infrastructure provisioning and automation.
Troubleshoot production pipeline failures, performance issues, data-quality problems, and Spark/cluster issues.
Establish data quality, monitoring, logging, and observability practices.
Provide technical leadership, code reviews, architecture guidance, and mentorship to junior/mid-level engineers.
Collaborate with Data Architects, Data Scientists, Business Analysts, DevOps teams, and application teams.

Required Technical Skills

Databricks

Databricks Lakehouse Platform
Delta Lake
Unity Catalog
Databricks Workflows/Jobs
Lakeflow / Delta Live Tables
Auto Loader
Databricks SQL
Databricks notebooks
Databricks Asset Bundles
Photon
Cluster/workload optimization

Big Data

Apache Spark
PySpark
Spark SQL
Structured Streaming
Kafka
Batch and real-time data processing

Programming

Python
SQL
PySpark
Scala good to have

Cloud Strong experience in at least one

AWS: S3, Glue, EMR, Lambda, Redshift, IAM, Kinesis
Azure: ADLS Gen2, ADF, Synapse, Azure DevOps, Event Hubs, Key Vault
Google Cloud Platform: GCS, BigQuery, Dataflow, Pub/Sub

Data Engineering

ETL/ELT
Data Warehousing
Dimensional Modeling
Data Lake/Lakehouse
Medallion Architecture
CDC
Data Quality
Data Governance
Metadata and Data Lineage

DevOps / CI-CD

Git
Azure DevOps / GitHub
Jenkins
Terraform
CI/CD automation
Infrastructure as Code

Preferred / Nice-to-Have Skills

MLflow
Databricks Machine Learning
Feature Store
Mosaic AI / GenAI
dbt
Apache Airflow
Power BI / Tableau
Delta Sharing
Lakehouse Federation
Liquid Clustering
Data security and PII masking

MLflow is particularly useful if the role touches ML/AI, as Databricks supports model tracking, lifecycle management, and deployment workflows alongside governed data. ()

Qualifications

Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
10+ years of experience in Data Engineering / Big Data / Analytics.
4+ years of hands-on Databricks experience preferred.
Strong experience designing enterprise-scale data platforms.
Demonstrated experience leading technical projects and mentoring engineers.
Strong communication and stakeholder-management skills.

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...