Jobgether is seeking a Senior Solutions Architect to design and implement innovative, end-to-end data solutions across modern cloud platforms. In this client-facing role, you will translate complex business requirements into actionable technical solutions.
What You'll Do
- Design, implement, and deliver end-to-end data solutions across platforms including Snowflake, AWS, Azure, GCP, and Databricks.
- Develop high-quality technical solutions that ensure performance, security, scalability, and robust data integration.
- Lead technical teams and provide mentorship to junior engineers, fostering knowledge sharing and best practices.
- Serve as a client-facing technical advisor, creating presentations, detailed solution documentation, and architectural diagrams.
- Translate business and client requirements into actionable technical solutions, including proofs-of-concept and roadmaps.
- Participate in all stages of the software development lifecycle: design, documentation, implementation, testing, and deployment.
What We're Looking For
- 8+ years of hands-on experience as a Solutions Architect or Data Engineer.
- Strong programming skills in Java, Python, and/or Scala.
- Expertise with core cloud data platforms (Snowflake, AWS, Azure, GCP) and SQL.
- Experience with multiple data sources (relational, NoSQL, files, queues, APIs) and data integration technologies (Spark, Kafka, Matillion, Fivetran, NiFi, etc.).
- Ability to create detailed technical documentation, including system views, class hierarchies, and sequence diagrams.
- Strong client-facing written and verbal communication skills, with experience delivering presentations.
- Bachelor’s degree in Computer Science or related field.
Nice to Have
- Experience with automated data transformation and orchestration tools (dbt, Airflow, AWS Managed Airflow, Luigi).
- Familiarity with distributed data storage systems (S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra).
- Proven track record in mentoring and leading technical teams.
Technical Stack
- Languages: Java, Python, Scala
- Platforms: Snowflake, AWS, Azure, GCP, Databricks
- Core: SQL, Spark, Kafka
- Integration: Matillion, Fivetran, NiFi, dbt
- Orchestration: Airflow, AWS Managed Airflow, Luigi
- Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch, Solr, Cassandra
Benefits & Compensation
- Remote-first work environment with flexible scheduling.
- Casual, collaborative, and award-winning workplace culture.
- Competitive compensation and comprehensive benefits package.
- 4 weeks PTO plus 10 paid holidays.
- Opportunities for professional development and certifications in advanced data technologies.
Work Mode
This is a fully remote position open to candidates within the United States.
Jobgether is an equal opportunity employer. We are committed to inclusion in a diverse, global team that values creativity, transparency, and autonomy.




