Ascentt · 5 months ago
Data Solutions Architect
Plano, TX
Full-time
Onsite
Senior Level
7+ years expAscentt is an AI, ML and Data Science solutions provider serving enterprise customers. They are seeking an experienced Data Solutions Architect to design, implement, and optimize enterprise-scale data architectures across cloud platforms, ensuring advanced analytics capabilities and robust governance frameworks.
AnalyticsArtificial Intelligence (AI)AutomotiveBig DataBusiness IntelligenceInformation TechnologyMachine LearningManufacturingMedia and Entertainment
Responsibilities
Design scalable, secure data architectures on AWS and GCP cloud platforms
Develop data architecture blueprints for data lakes, warehouses, and streaming solutions
Create technical specifications and establish architectural standards and best practices
Evaluate and recommend emerging technologies to enhance the data ecosystem
Lead Databricks implementation for advanced analytics and machine learning workloads
Design and optimize Snowflake data warehouse architectures for performance and cost
Architect multi-cloud solutions using AWS (S3, Redshift, Glue, EMR) and GCP (BigQuery, Dataflow, Dataproc) services
Implement containerized data processing solutions
Design robust ETL/ELT pipelines for batch and real-time data processing
Architect data replication strategies across heterogeneous systems
Develop data ingestion frameworks for structured and unstructured data sources
Implement CDC solutions and event-driven architecture for real-time analytics
Develop logical and physical data models optimized for analytical workloads
Design dimensional modeling and data vault solutions for enterprise data warehouses
Architect self-service analytics platforms for business users
Create domain-specific data marts and advanced modeling techniques
Architect BI solutions integrating with platforms like Tableau, Power BI, and Looker
Implement comprehensive data governance frameworks ensuring quality, lineage, and metadata management
Design data privacy solutions compliant with GDPR, CCPA, and regulatory requirements
Establish role-based access controls, data classification, and security frameworks
Partner with stakeholders to translate business requirements into technical solutions
Provide technical leadership and mentorship to development teams
Drive architectural reviews and present designs to executive leadership
Collaborate with data engineers, analysts, and scientists for optimal platform performance
Qualification
Required
Cloud Platforms: 5+ years of hands-on experience with AWS and/or GCP data services
Databricks: 3+ years designing and implementing Databricks solutions for analytics and ML workloads
Snowflake: 3+ years architecting Snowflake data warehouse solutions
Programming: Proficiency in Python, SQL, Scala, and/or Java for data processing applications
Big Data Technologies: Experience with Apache Spark, Kafka, Airflow, and other distributed computing frameworks
Infrastructure as Code: Proficiency with Terraform, CloudFormation, or similar tools
Data Integration: Extensive experience with ETL/ELT tools and frameworks
Data Modeling: Strong background in dimensional modeling, data vault, and modern data architecture patterns
Data Governance: Proven experience implementing data quality, lineage, and metadata management solutions
Analytics: Experience architecting solutions for advanced analytics, machine learning, and AI workloads
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field
7+ years of experience in data architecture, engineering, or related roles
Strong project management skills with experience leading complex, multi-stakeholder initiatives
Excellent communication skills with ability to present technical concepts to non-technical audiences
Preferred
Cloud certifications (AWS Solutions Architect, GCP Professional Data Engineer, or similar)
Experience with additional cloud platforms (Azure)
Knowledge of machine learning operations (MLOps) and AI/ML lifecycle management
Experience with real-time analytics and streaming technologies
Background in financial services, healthcare, or other highly regulated industries
Familiarity with open-source data technologies and frameworks
Experience with agile development methodologies and DevOps practices
Company
Ascentt
Ascentt is an AI, ML and Data Science solutions provider serving enterprise customers.
201-500 employees
H1B Sponsorship
Ascentt has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (24)
2024 (26)
Funding
Current Stage
Growth StageRecent News
Business News Americas
2025-07-04
2022-03-25
Company data provided by crunchbase