Senior Data Platform Engineer

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Solvd, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2010

☁️ SaaS

🤝 B2B

🏢 Enterprise

SaaS • B2B • Enterprise

Solvd, Inc. is a global software engineering and consulting company that delivers comprehensive end-to-end solutions. Founded in 2011, Solvd offers core engineering services, including software development for web and mobile platforms, digital experience and design, data and AI/ML solutions, and cloud platform modernization. The company is an AWS partner and is known for optimizing resources, solving complex problems, and enhancing user satisfaction. Solvd emphasizes innovation and quality assurance, employing over 800 international professionals across 8 offices worldwide. The company prides itself on transforming businesses by providing feature-rich digital products, manual testing, automation, and employing cutting-edge technology solutions. Their proprietary tools like Zebrunner and Carina aid in improving development and QA processes. Solvd operates with a focus on collaboration, top talent cultivation, and customized technical solutions tailored to individual client needs, serving clients across 15 countries.

📋 Description

• Own, prototype, implement, and deploy DataBricks Lakehouse pipelines on AWS. • Research and prototype data acquisition strategies for scientific lab instrumentation. • Build file parsers for instrument output files across a wide range of formats — .xlsx, .pdf, .txt, .raw, .fid, and vendor-specific binaries. • Design and build data models, Python data pipelines, unit tests, integration tests, and utility functions. • Work directly with customers to validate that solutions meet their requirements and solve real scientific needs. • Facilitate internal project post-mortems to identify and apply improvements across engagements.

🎯 Requirements

• 5+ years of professional experience in Python and SQL. • Hands-on experience with Databricks Lakehouse architecture on AWS. • Strong working knowledge of AWS Redshift — hands-on experience required. • Experience across the AWS data stack: ECS, S3, Athena, RDS. • Proficiency with ETL/ELT pipeline development using Airflow and Python. • Experience with relational databases — MySQL, MariaDB, Aurora, PostgreSQL, MS SQL Server. • Familiarity with key-value and non-relational databases. • Excellent communication skills and the confidence to take ownership of project delivery end-to-end. • Able to manage multiple simultaneous projects without losing quality or attention to detail. • Genuine curiosity — this role requires learning new scientific domains and instrument ecosystems continuously.

🏖️ Benefits

• Be part of a global team with equal opportunities for collaboration across continents and cultures. • Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. • Shape real-world AI-driven projects across key industries.