Data & AI Architect

Job Brief
We are seeking a highly skilled Data & AI Architect to design and implement scalable, secure, and high-performance data and AI architectures across cloud and hybrid environments. The ideal candidate will have deep expertise in data engineering, machine learning, and AI solution design, with experience leveraging cloud-native and open-source technologies to deliver intelligent, data-driven solutions. This role demands strong technical leadership, architectural vision, and the ability to translate complex business requirements into cohesive Data & AI ecosystems that support analytics, automation, and innovation.

VentureDive Overview
Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world.

Key Responsibilities:

• Architect, design, and implement end-to-end Data & AI solutions across cloud, on-premises, or hybrid environments.
• Build Data ingestion, transformation, and storage pipelines for structured, semi-structured, and unstructured data sources.
• Design and implement AI/ML pipelines, including feature Agentic applications engineering, model training, deployment, and monitoring.
• Leverage modern Data and AI platforms (e.g., Databricks, Snowflake, BigQuery, Redshift, Synapse, Vertex AI, SageMaker, or Azure ML) to enable advanced analytics and predictive modeling.
• Collaborate with stakeholders to define Data and AI strategy, architecture blueprints, and technology roadmaps.
• Integrate ML models and AI services (e.g., generative AI, NLP, computer vision) into business workflows and enterprise applications.
• Implement data governance, model governance, and Responsible AI frameworks to ensure compliance, transparency, and ethical AI usage.
• Optimize pipelines and workflows for performance, scalability, and cost-efficiency.
• Partner with engineering and DevOps teams to establish MLOps and DataOps practices for continuous integration and deployment of models.
• Produce high-quality architecture documentation, data flow diagrams, and solution blueprints.
• Mentor engineers and data scientists, promoting best practices in data engineering, AI architecture, and cloud-native design.
• Stay current with emerging AI, LLM, and data technologies to evaluate their potential in enterprise and government use cases.

Required Experience & Qualification:

• 10+ years of experience in data engineering, data architecture, or AI solution design.
• Strong hands-on experience with data platform technologies, such as:
• Data pipelines: Apache Spark, Airflow, dbt, Kafka, Flink, or similar.
• Data storage: Data lakes, warehouses, and lakehouses (e.g., Snowflake, Delta Lake, BigQuery, Redshift, Synapse).
• AI/ML platforms: TensorFlow, PyTorch, scikit-learn, MLflow, or cloud ML platforms (Azure ML, SageMaker, Vertex AI).
• Proven experience building and deploying machine learning models at scale (batch, streaming, or real-time).
• Deep understanding of data lakehouse and data mesh architectures.
• Experience implementing governance, lineage, and security frameworks for data and AI systems.
• Strong communication and stakeholder management skills, with the ability to explain architectural concepts to diverse audiences.
• Demonstrated ability to balance innovation, scalability, and cost optimization in complex ecosystems.

Preferred Skills:

• Knowledge of Generative AI, LLMs, vector databases, and embedding-based retrieval (e.g., RAG architectures).
• Experience with MLOps tools (MLflow, Kubeflow, Vertex Pipelines, or Azure ML pipelines).
• Familiarity with DataOps and CI/CD practices for data and AI workflows.
• Integration of AI insights into BI or visualization tools (e.g., Power BI, Tableau, Looker).
• Exposure to real-time AI applications, including anomaly detection, predictive maintenance, or conversational AI.
• Experience leading data and AI modernization initiatives or enterprise AI strategy projects.
• Understanding of governance and compliance frameworks (GDPR, ISO 27001, NIST, or sector-specific standards).

What we look for beyond required skills
In order to thrive at VentureDive, you
…are intellectually smart and curious
…have the passion for and take pride in your work
…deeply believe in VentureDive’s mission, vision, and values
…have a no-frills attitude
…are a collaborative team player
…are ethical and honest

Are you ready to put your ideas into products and solutions that will be used by millions?
You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball!

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