Senior Data / Solution Architect (AI + Data Architecture)

Techtorch

2d•Remote

About The Position

TechTorch is seeking a hands-on Senior Data / Solution Architect to design and build modern data architectures while enabling AI-driven data products for our private equity portfolio companies. This role bridges core data architecture foundations with practical AI solution deployment on modern cloud data platforms. You'll partner with our consulting and delivery teams to translate complex business requirements into scalable, production-ready data solutions that drive measurable value creation and operational excellence for PE-backed enterprises.

Requirements

8+ years in data architecture, solution architecture, or data engineering roles
Proven track record designing and implementing SOO/SOR/CDM architectures, lakehouse/warehouse patterns, and dimensional modeling
Hands-on experience delivering AI-enabled solutions to production environments (beyond experimentation)
Cloud implementation experience in Azure, AWS, or GCP (deep expertise in at least one platform)
Strong hands-on proficiency with SQL and Python
Expert-level experience building data pipelines and orchestration (Airflow, Azure Data Factory, dbt)
Deep knowledge of distributed processing frameworks (Apache Spark)
Experience with modern data platforms: Databricks, Snowflake, Azure Synapse, or BigQuery
Strong analytical and problem-solving skills with attention to architectural patterns and best practices
Excellent stakeholder management and communication abilities to bridge technical and business audiences
Ability to balance strategic architecture vision with pragmatic, hands-on implementation
Collaborative mindset with ability to mentor engineering teams and drive technical excellence
Adaptability to work in fast-paced PE-backed environments with focus on rapid value delivery

Nice To Haves

Consulting delivery experience across multiple clients and domains preferred
MLOps and model deployment exposure (Azure ML, SageMaker, Vertex AI, MLflow, Docker/Kubernetes) highly valued

Responsibilities

Design and implement enterprise data architectures spanning Source of Origin (SOO), System of Record (SOR), and Common Data Model (CDM/Curated) layers.
Lead core data architecture activities including data modeling (conceptual, logical, physical), master data management, reference data, metadata, lineage, and governance frameworks.
Build scalable batch and real-time data pipelines and data products leveraging lakehouse and warehouse patterns.
Architect and support end-to-end deployment of AI/ML solutions on data platforms, including feature engineering, model integration, orchestration, and monitoring.
Work hands-on with engineering teams to deliver production-grade solutions with proper CI/CD, security, performance optimization, and observability.
Partner with business stakeholders and technical teams to translate requirements into clean, scalable technical designs that align with PE value creation objectives.