We are looking for a Solution Architect for data-driven projects. Together, we design and implement solutions that generate value from data by leveraging scalable platforms, cutting-edge technologies, and machine learning algorithms. The set of technologies is diverse, so Solution Architects from any technical background are welcome. We provide a robust architectural framework, educational programs, and a strong Solution Architect community to support your deep dive into the data domain. Responsibilities Design and evolve large-scale data-driven solutions Drive direct communications with business stakeholders Elaborate on all technical aspects for the development team, provide justification for any architectural decision Lead implementation of the solutions from establishing project requirements and goals to solution "go-live" Create and present solution architecture documentation with deep technical details to customer and implementation teams Participate in the full cycle of pre-sale activities Lead solution architecture evaluation and assessment activities Research emerging technologies continuously, participate in company level knowledge sharing initiatives, PoCs and training programs Requirements At least 1 year of experience as a Software Architect Experience in requirements engineering, solution architecture, systems development, deployment and maintenance Knowledge of architecture, design patterns and the technological landscape in at least 3 technology domains (Data Platforms, IoT, ML, Backend, Mobile, etc.) Background in the technology's internals for at least 1 technology domain Understanding of the core concepts in data and analytics platform architectures, data warehousing, business intelligence, data management, integration, security and operations areas Experience in design, implementation, deployment, troubleshooting and replatforming of distributed systems both on premises and in the Cloud Knowledge of the entire architecture design process (requirements, quality attributes, technology selection, estimation, proposal verification, documentation, etc.) Experience in all phases of the software development life cycle using different development methodologies and best practices Familiarity with cloud platforms such as AWS, Azure, GCP Familiarity with distributed data processing & ETL frameworks such as Apache Spark, AWS Glue, Databricks Familiarity with distributed environments such as Kubernetes, Docker, AWS ECS Familiarity with analytical data warehousing solutions such as Snowflake, AWS Redshift, GCP BigQuery Familiarity with relational databases such as PostgreSQL, AWS SQL DB, GCP Cloud SQL Familiarity with lightweight/serverless compute services such as AWS Lambda Functions, GCP Cloud Functions, Azure Functions Familiarity with No-SQL/specialized databases such as Cassandra, MongoDB, Azure Cosmos DB Familiarity with data catalogs & metadata management tools such as Collibra, Alation, Informatica Familiarity with integration & flow management tools such as AWS Step Functions, Airflow/GCP Cloud Composer, Azure Data Factory English proficiency at B2 level or higher
