Solutions Architect – Databricks

🕒 May 27

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EXL

WebsiteLinkedInAll Job Openings

10,000+ employees

💰 $2M Venture Round on 2015-01

Choosing a digital partner is about more than capabilities — it’s about collaboration and character.

📋 Description

• 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.

🎯 Requirements

• 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

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development • Bonuses • Performance incentives