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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solutions Architect - Databricks - **Company:** EXL SERVICE - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Airflow, Big Data, Cloud Engineering, Code Review, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Mart, Data Warehousing, Dimensional Modeling, Distributed Data Store, Distributed Systems, Python (Programming Language), Online Analytical Processing, Online Transaction Processing, Performance Tuning, Query Optimization, Software Deployment, SQL Databases, Technical Data Management Systems, Real Time Systems, Apache Spark, Pyspark, Apache Kafka, Data Pipelines, Databricks - **Published:** May 27, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=7463ed2424bc09bc ## About the Role Do you have experience in Team development?, * 6-10 years of experience in data engineering, data architecture, or analytics engineering * Strong experience with Databricks ecosystem (Spark, SQL, PySpark, workflows) * Expertise in: + Big Data Technologies (Spark, Kafka, distributed systems) + Data Warehousing & Modeling (OLTP/OLAP, dimensional modeling, medallion architecture) + ETL/ELT pipeline development and orchestration (Airflow or similar tools) * Advanced proficiency in SQL and Python (Scala/Java/R is a plus) * Experience designing and delivering enterprise-grade data architectures * Strong understanding of performance tuning, query optimization, and large-scale data processing * Proven ability to translate business needs into scalable technical solutions * Experience leading teams and working in client-facing environments * Excellent communication, problem-solving, and stakeholder management skills ## Description Job Description: We are seeking a highly skilled and hands-on Data Architect / Lead Data Engineer to design, build, and scale modern data platforms leveraging the Databricks Lakehouse architecture. This role combines deep technical expertise, architecture design, and client-facing leadership, with an emphasis on driving Databricks adoption across enterprise data ecosystems., * Partner with client stakeholders to define data platform strategy and establish Databricks Lakehouse architecture as the standard. * Design scalable, secure, and high-performance data architectures across batch and real-time processing. * Build and present reference architectures, solution blueprints, and demos to drive adoption and technical buy-in. * Translate complex business requirements into robust technical data solutions. * Design and implement scalable data pipelines using Databricks (PySpark, SQL). * Build and optimize data models, data marts, and medallion architecture layers (Bronze/Silver/Gold). * Develop and manage ETL/ELT pipelines, including CDC, incremental processing, and performance tuning. * Ensure data quality, observability, monitoring, and alerting across production workloads. * Work with large-scale distributed data systems (Spark, Kafka, etc.). * Lead and mentor a team of data engineers across multiple workstreams. * Conduct code reviews, enforce best practices, and create reusable frameworks/patterns. * Drive end-to-end solution delivery, including architecture, development, and production deployment. * Collaborate with cross-functional teams including analytics, BI, data science, and cloud engineering. * Manage stakeholder communication and provide technical thought leadership. Expected work split: * 50% Hands-on Technical: Data engineering, pipeline development, architecture implementation * 50% Leadership & Client Engagement: Solution design, stakeholder management, team leadership ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)