Solution Architect

We are looking for aSolution 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