Data Architect/Scientific Data Engineer

Engender Technologies is at the forefront of innovation, transforming the dairy industry with our groundbreaking gender selection technology. We are looking for a skilled and motivated Data Architect to join our dynamic team. In this role, you will play a crucial part in shaping our data strategy and architecture, ensuring data integrity and availability to support our innovative solutions.

Key Responsibilities:

• Designing data models and schemas for structured and unstructured data (e.g. biological samples, events, results, metadata).
• Leading and supporting LIMS integration, either by adapting a commercial system or helping build/customize an internal one.
• Defining and maintaining data standards, naming conventions, lineage tracking, and governance policies.
• Planning and building ETL/ELT pipelines (Extract, Transform, Load) from hardware, software logs, user input, and external systems.
• Ensuring data integrity, auditability, and regulatory compliance (if applicable).
• Supporting analytics and reporting, and eventually enabling machine learning or statistical modelling.
• Making technical decisions about storage layers (SQL/NoSQL, cloud/on-prem, etc.), metadata strategies, and APIs.

• Design and implement robust data architectures, ensuring they are scalable and maintainable.
• Collaborate with cross-functional teams to define data requirements and ensure data solutions align with business objectives.

Requirements

What We're Looking For:

• Bachelor's degree in Computer Science, Information Systems, or a related field; Master’s degree is a plus.
• Strong communication and collaboration skills to work effectively with stakeholders across the organization
• 7+ years of experience in data architecture, data modeling, and database design.
• Data Modeling  - Conceptual, logical, and physical data models; normalization/denormalization; temporal modelling
• Databases - NoSQL (MongoDB, Redis, CSV), time series DBs (csv files, InfluxDB), and some SQL
• Infrastructure - Data lake architecture, cloud platforms (AWS/GCP/Azure), Docker/Kubernetes (nice to have)
• Data Quality & Governance - Data validation, audit trails, versioned data, compliance (GDPR, 21 CFR Part 11 if relevant)
• Data Warehousing - e.g. Snowflake, BigQuery, Redshift, or custom analytical warehouses (nice to have)
• ETL/ELT - Tools like Apache Airflow, dbt, Fivetran, custom Python pipelines 
• Able to implement the architecture (via programming in Python or C# etc.) is required
• LIMS Integration - Understanding of commercial LIMS (e.g. Infor M3, LabWare, Benchling) or experience designing custom solutions
• APIs & Interoperability - RESTful APIs. Bonus if GraphQL, message buses (e.g., MQTT, Kafka)
• Programming - Python, SQL, some Bash or PowerShell scripting; bonus if experience with C# or C/C++, R, etc

Bonus Points:

• Experience in the agricultural or biotechnology sectors.
• Knowledge of machine learning and data analytics.

Benefits

• The opportunity to be at the forefront of a revolutionary technology in the dairy industry.
• A collaborative and dynamic work environment with a passionate team.
• Competitive salary 
• Health Benefits 
• The chance to make a real impact on the future of animal agriculture