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). Planning and building ETL/ELT pipelines (Extract, Transform, Load) from hardware, software logs, user input, and external systems. Discovery and gathering requirements to procure a LIMS integration, either by adapting a commercial system or helping build/customise an internal one and then leading the implementation of this system. Defining and maintaining data standards, naming conventions, lineage tracking, and governance policies. 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