Flexible Work Model
Work from home, from the office, or in a hybrid format that supports focus and collaboration.
ABOUT THE ROLE
In this role, you will design and implement scalable Data & Analytics solutions with the Databricks platform and related AWS and GCP technologies. Working closely with technical and business stakeholders, you will help shape modern data architectures, estimate projects, guide engineering teams, and deliver reliable cloud-based data platforms throughout the full project lifecycle, from discovery and solution design to production implementation.
This is a US-based onsite (West Palm) role with an anticipated base salary range of $84,000.00 – $108,000.00 annually, plus variable compensation.
RESPONSIBILITIES
- Design scalable Data & Analytics architectures using Databricks and modern cloud-native data platform technologies
- Collaborate directly with technical and business stakeholders to gather requirements, facilitate architecture discussions, and translate business needs into technical solutions and implementation roadmaps
- Define data platform architecture, data models, ingestion strategies, and source-to-target mappings for batch and streaming workloads
- Support engineering teams by providing technical guidance, reviewing solution designs, and promoting data engineering best practices
- Contribute to architecture decisions, technology selection, estimation activities, and delivery planning across complex Data & Analytics initiatives
- Create and maintain architecture documentation, technical designs, and implementation guidelines
- Evaluate emerging technologies, build prototypes, and contribute to continuous improvement and knowledge sharing within the engineering community
REQUIREMENTS
- Proven experience as a Data Architect designing and delivering enterprise-scale Data & Analytics platforms
- Strong expertise with the Databricks platform
- Hands-on experience designing scalable batch and streaming data architectures, data pipelines, and cloud-based data platforms
- Strong knowledge of Apache Spark (PySpark/Spark SQL) and modern data processing frameworks
- Experience working with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform
- Proficiency in Python (preferred), Scala, or Java, combined with advanced SQL skills
- Experience with orchestration technologies such as Databricks Workflows, Apache Airflow, or equivalent workflow orchestration tools
- Familiarity with modern data warehousing and analytics platforms such as Snowflake, BigQuery, Amazon Redshift, or similar technologies
- Strong communication and stakeholder management skills with the ability to translate business requirements into scalable technical architectures
SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.
Role Summary
Location
USA
Work type
Remote/Office
Direction
Engineering & Technology
Subdirection
Data & Analytics
Tech level
Manager
Apply Now
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About us
We are a digital engineering and technology consulting company where expertise grows alongside people. For more than 30 years, we have been elevating technology: helping organizations navigate complex business challenges by combining deep engineering knowledge with thoughtful, research-backed innovation. Our teams work across key areas: digital engineering, data and analytics, Сloud, and AI/ML. In each, we deliver practical, scalable solutions rooted in real business needs and measurable human impact.
You bring your perspective and ambition. We create an environment where your work meets clarity, confidence, and purpose.
We offer
Compensation & Benefits
Competitive, market-based pay, benchmarked by role and location — plus health coverage, paid time off, wellness support, and learning opportunities.
People-first Leadership
Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning.
Advanced tech communities
Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks.