Key skills
PythonSQLAIMLETLELTData EngineeringAnalyticsSnowflakeBigQueryKafkaAirflowdbtCommunicationCollaboration
About this role
Everise Digital is a full-service digital agency specializing in AI-driven systems and scalable data platforms. They are seeking a Senior Data Engineer to lead discovery and translate business ideas into structured, build-ready plans, working directly with the CTO.
Responsibilities:
- Lead discovery and technical scoping calls - translating business data goals into technical requirements
- Draft high-level data architecture outlines, solution approaches, and system design documents
- Define scope, risks, and technical feasibility in collaboration with the engineering team
- Prevent scope creep through structured documentation and clear handoff processes
- Serve as the bridge between stakeholders and developers - communicating technical decisions back in plain language
- Support proposal validation and ensure delivery alignment throughout the project lifecycle
Requirements:
- Hands-on background in data engineering - comfortable reading code, discussing data architecture, and working through implementation tradeoffs with engineering teams
- Experience building data pipelines, data warehouses, ETL/ELT workflows, analytics platforms, or AI/ML data infrastructure (this is a data engineering role, not infrastructure or network engineering)
- Proven experience participating in discovery, scoping, or requirements gathering - ideally with US-based clients or stakeholders
- Ability to produce clear technical documentation: data architecture diagrams, pipeline specifications, and scope definitions
- Strong communication skills - you can simplify complex data concepts for non-technical stakeholders without losing accuracy
- Comfortable operating in a fast-moving startup environment where you own outcomes, not just tasks
- Lead discovery and technical scoping calls - translating business data goals into technical requirements
- Draft high-level data architecture outlines, solution approaches, and system design documents
- Define scope, risks, and technical feasibility in collaboration with the engineering team
- Prevent scope creep through structured documentation and clear handoff processes
- Serve as the bridge between stakeholders and developers - communicating technical decisions back in plain language
- Support proposal validation and ensure delivery alignment throughout the project lifecycle
- Familiarity with modern data stacks (e.g., Snowflake, BigQuery, dbt, Airflow, Python, SQL, Kafka, etc)