What are the responsibilities and job description for the Data Architect position at Digitive?
Position Overview: We are looking for an experienced Data Architect to join our team and drive cutting-edge data solutions in a hybrid role based in Dallas, TX, or Kansas City, MO (2-3 days onsite per week). If you have a strong background in DB Architecture, Azure, Cosmos DB, VectorDBs, and PostgreSQL, this could be the perfect opportunity for you!
Job Title: Data Architect
Location - Dallas TX or Kansas City MO (Hybrid, 2-3 days a week)
Long-term Contract
Key Skills - DB Architecture, Azure, Cosmos DB, VectorDBs, PostgreSQL
Key Responsibilities:
- Architect and develop enterprise-grade data pipelines from ingestion to deployment.
- Lead the implementation of complex agentic frameworks ensuring best practices in data engineering.
- Design and optimize NoSQL, graph, and vector databases (e.g., CosmosDB, AWS OpenSearch, GCP Vertex AI, Neo4j, MongoDB, DynamoDB).
- Work with unstructured data and build efficient data processing solutions.
- Develop and integrate data pipelines with Snowflake for enhanced data storage and analytics.
- Collaborate with cross-functional teams to embed data solutions into existing platforms.
- Stay ahead of Generative AI advancements and implement innovative technologies.
- Mentor and guide junior engineers and architects.
- Build POCs and prototypes to evaluate emerging data and AI technologies.
Required Qualifications:
✔️ 10 years of experience in Data Engineering, with at least 3 years focused on Generative AI.
✔️ Expertise in vector databases, graph databases, NoSQL, and Document DBs.
✔️ Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow.
✔️ Strong experience with Azure, AWS, or GCP, and containerization (Docker, Kubernetes).
✔️ Excellent communication skills to engage both technical and non-technical stakeholders.
