Consulting Data Architect

About the role

The Consulting Data Architect at WWT is responsible for designing M&O data platforms using batch, real-time, and event-driven architectures. They also create conceptual, logical, and physical data models for different modeling patterns and technologies.

Responsibilities

• Design and build data platforms using Apache Kafka, Neo4j, Splunk, Azure Event Hub, or similar technologies.
• Design and build streaming applications for data platforms using frameworks such as Kafka Streams, Spark, and Apache Flink.
• Understand and configure underlying data platforms according to the needs of the client.
• Architect and create data schemas according to best practices for data in motion.
• Work with various disciplines to integrate their tools and processes with data streaming platforms.
• Present the value of data streaming platforms to people with differing levels of technical knowledge.
• Document and diagram complex systems.
• Build tools, processes, and documentation to standardize the way we work.
• Provide thought leadership around the ever-changing landscape of IT Operations and data streaming technologies & architecture through blog posts and speaking opportunities.

Qualifications

• Experience architecting, prototyping, and building data platforms using Apache Kafka, Neo4j, Splunk, Azure Event Hub, or similar technologies.
• Experience designing and building streaming applications for data platforms using frameworks such as Kafka Streams, Spark, and Apache Flink.
• Experience understanding and configuring underlying data platforms according to the needs of the client.
• Experience architecting and creating data schemas according to best practices for data in motion.
• Experience working with various disciplines to integrate their tools and processes with data streaming platforms.
• Experience presenting to people with differing levels of technical knowledge the value of data streaming platforms.
• Experience documenting and diagramming complex systems.
• Experience with containerized applications and orchestration.
• Experience with at least one traditional data warehousing technology (e.g., Teradata, Oracle, SQL Server) and/or modern platforms (e.g., AWS, GCP, Azure).
• Experience in one scripting language (e.g., Python, Java, Scala).
• Experience in SQL scripting, tuning, indexing, partitioning, data access patterns, and scaling strategies.
• Experience with data integrations and data processing for IT Operations event management and analysis.
• Experience as a key player in developing an enterprise data warehouse.

Preferred

• Experience with no-code tooling such as Apache NiFi, Informatica, and AWS Glue.
• Experience with different Kafka offerings such as Confluent Kafka (Platform and Cloud), MSK, and Cloudera.
• Experience operating and managing Kafka clusters at scale.
• Experience with containerized applications and orchestration.

Benefits

• Health and Wellbeing: Health (Medical & Prescription), Dental, and Vision Care, Onsite Health Centers (MO & IL), Employee Assistance Program, Wellness program
• Financial Benefits: Competitive Pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Flexible Spending Accounts, Tuition Reimbursement
• Paid Time Off: PTO & Holidays, Parental Leave, Medical Leave, Military Leave, Bereavement, Day of Caring
• Additional Perks: Family Planning Benefits, Nursing Mothers Benefits, Voluntary Legal, Voluntary Supplemental Accident/Illness/Hospital, Voluntary ID Theft, Pet Insurance, Employee Discount Program