Wavicle Data Solutions is hiring a
Senior Data Solution Architect

Summary

Join Wavicle Data Solutions as a Senior Data Solution Architect and lead technical teams to deliver complex business and digital transformation solutions.

Requirements

• Bachelor or Master Degree in Computer Science or relevant field is required
• 10+ years of experience in delivering data engineering solutions that include batch and streaming capabilities
• 5+ years of strategic/management consulting experience with experience in pre-sales activities (RFP response, proposal development, SOW development, etc.) is required
• Experience implementing AWS HealthLake for a healthcare provider organization is required
• Expert knowledge of cloud services (AWS preferred)
• In-depth expertise of design, implementation, engineering, automation and DevOps implementation, service operation and service improvement initiatives
• On-prem / other cloud providers to cloud migration using cloud migration tools
• Experience creating and delivering end-to-end roadmaps to address a business problem
• Strong understanding of Unix operating system and experience in any scripting language like Python, Shell, Awk, etc
• Experience building, testing, automating and optimizing data pipelines is required
• Experience using emerging technologies (Snowflake, Databricks, Synapse, etc.) is required
• Strong understanding and prior use of SQL and be highly proficient in the workings of data technologies (Hadoop, Hive, Spark, Kafka, low latency data stores, Airflow, etc.)
• Passion for software development and data and be highly skilled in performing data extraction, transformation and processing to optimize quantitative analyses on various business functions
• Familiarity with Scrum, DevOps, and DataOps methodologies, and supporting tools such as JIRA
• Excellent oral and written communication skills
• Strong presentation skills and the ability to communicate analytical and technical concepts with confidence and in an easy-to-understand fashion to technical and non-technical audiences

Responsibilities

• Experience implementing AWS HealthLake for a healthcare provider organization is required
• Lead and provide advanced data engineering expertise for projects that enable analytics to drive optimization of decisions for client(s), within a team of engineers
• Design new methods and processes to ensure maximum effectiveness of client data
• Partner with data analysts/scientists to provide solutions enabling statistical analysis tools and data visualization applications
• Identify processes and tools that can be shifted towards automation to enable seamless development and self-service analytics workloads
• Partner with various business units and data stewards to understand the business needs
• Obtain and/or maintain technical expertise of available data manipulation and preparation tools (ADF, Talend, Informatica, Matillion, etc.) as well as programming languages (Python, Spark, etc.)
• Ensure data is secure, relevant, and maintains high quality standards
• Identify and implement industry best practices
• Evaluate new data sets to determine appropriate ingestion techniques
• Build, manage and optimize data pipelines through a variety of ETL tools, including custom infrastructure and 3rd-party tooling (Azure/AWS, Databricks, Snowflake)
• Work with internal engineering teams and vendors to understand business logic to ensure veracity in datasets
• Generate documentation on existing production data logic and its influencing business processes in order to reconcile knowledge gaps between the business, engineering, and data collection