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Computomic · 21 hours ago

Solutions Architect

United States

Full-time

Remote

Senior Level

7+ years exp

Computomic is a rapidly growing company focused on delivering innovative Data & AI solutions. They are seeking a Resident Solutions Architect to lead enterprise-scale Databricks migration projects and provide thought leadership in data architecture and governance.

Cloud Data ServicesData IntegrationData ManagementInformation Technology

Responsibilities

Be a core member of our rapidly growing Databricks practice

Work directly with end customers and architect, scope, negotiate & lead enterprise scale Databricks migration projects

Provide thought leadership in the areas of data migration, master data management, data modeling, data governance, data transformations, curation and data integration

Develop data architecture blueprints, patterns and frameworks that will enable reuse and standardization

Grow the practice by influencing sales deals and assist with scoping, solutioning and estimating effort

Lead efforts to develop reusable frameworks, accelerators and internal product development

Help us hire, train and develop highly differentiated and diverse team of Big Data experts

Qualification

DatabricksCloud Data ArchitectureData EngineeringApache SparkAWSAzureGCPPythonSQLMaster Data ManagementData GovernanceData IntegrationData ModelingVisualization ToolsSoft Skills

Required

7+ years experience of data engineering, data platforms & analytics

10+ years of consulting experience

Minimum 6-8+ projects delivered with hands-on experience in development on databricks

Current knowledge across the Databricks product & platform features - and/ or complete Databricks Data Engineering Professional Certification (upon joining)

Deep understanding and experience working with modern cloud data architectures and engineering for one or more of the common cloud ecosystems - AWS, Azure or GCP

Familiarity with cloud native technologies specifically - Python / PySpark / JavaScript, CI/CD for production deployments , ML Ops, cloud devops, containers (kubernetes/docker, etc.)

Deep experience with distributed computing with Spark, with knowledge of Spark runtime intervals

Strong abilities to provide a firm point of view on core cloud platform capabilities, security, and best practices

Knowledge of cloud and Big Data ecosystems to advise clients on optimal solutions and best practices

Understanding of cloud data architecture and data integration patterns (Databricks, Starburst, Azure Data Factory, AWS Glue and others), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform)

Understanding of enterprise data concepts such as Master Data Management and Enterprise Data Warehouse, experience with MDM standards

Understanding of SQL, report generation using visualization tools such as Tableau/Power BI, programming using Python/Scala/Spark

Ability to identify, debug bottlenecks and significantly optimize slow running data pipelines

Experience migrating applications from legacy Hadoop or Data Warehouses to the cloud running Apache Spark or Databricks a huge plus

Preferred

Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects is a plus

Experience leading and working with large Cloud Data Platform, Cloud Data migration or Enterprise Information Management programs

You bring an uncompromising Growth mindset

You are highly motivated, creative in your approach to technical problems and know how to leverage both internal and external networks

You invest in keeping technical skills updated and are constantly looking for the next big challenge

You will bring both broad and deep knowledge in Data Engineering and can architect a solution by mapping a customer business problem to an end-to-end solution

You are resourceful, confident and composed under pressure