Enterprise Data Architect - AWS & Snowflake Specialist
Job in
Austin, Travis County, Texas, 78716, USA
Listed on 2026-06-05
Listing for:
Esolvit, Inc.
Full Time
position Listed on 2026-06-05
Job specializations:
-
IT/Tech
Data Engineer, Cloud Computing, Data Warehousing, Data Security
Job Description & How to Apply Below
Enterprise Data Architect - AWS & Snowflake Specialist
Location:
Austin, TX
Duration:
Long Term
Job Description:
Enterprise Data Architect - AWS & Snowflake Specialist
We are seeking a highly experienced and strategic Enterprise Data Architect with 15+ years of hands-on experience in designing, building, and optimizing enterprise-scale data platforms. This pivotal role demands a deep specialization in AWS and Snowflake technologies, coupled with a proven ability to transform fragmented enterprise data into governed, high-performance, and scalable solutions. The ideal candidate will establish long-term data architecture visions, implement robust enterprise governance frameworks, and lead significant cloud-based data modernization initiatives.
This role requires a trusted advisor to executive leadership for strategic data initiatives and enterprise-wide transformation programs.
Key Responsibilities:
- Architectural Leadership & Strategy:
- Define and execute the enterprise data architecture vision and roadmap for critical business domains.
- Lead architectural decisions across enterprise data modernization initiatives, balancing technical constraints, scalability, governance, and business priorities.
- Develop architectural roadmaps and governance frameworks for diverse data platforms.
- Design end-to-end data lifecycle, from ingestion to transformation, analytics, and archival.
- Establish enterprise data standards, metadata governance processes, and architectural governance.
- Serve as a trusted advisor to executive leadership for strategic data initiatives.
- AWS Cloud Data Platform Expertise:
- Architect and implement scalable AWS architectures leveraging services such as S3, Glue, EMR, Lambda, SQS, SNS, Kinesis, and IAM.
- Design and integrate AWS services with Snowflake to build data platforms that are fast, governed, and built for lasting performance.
- Lead the design of enterprise-scale AWS data integration platforms, supporting capabilities like 5 TB/day Kafka streaming and serverless event-driven triggers.
- Snowflake Data Warehouse Specialization:
- Architect, design, and optimize Snowflake-based enterprise data warehouses, including high-performance schemas, clustering keys, partitioning strategies, multi-cluster virtual warehouses, RBAC, Snowpipe, Time Travel, Tasks, Streams, and data sharing policies.
- Develop complex PL/SQL stored procedures, dynamic SQL, and Python-based Snowflake pipelines for high-performance enterprise data processing and transformation.
- Guide engineering teams in the implementation, optimization, and production delivery of Snowflake solutions.
- Data Governance & Quality:
- Implement enterprise data governance standards including role-based access controls (RBAC), lineage management, schema governance, compliance controls, and audit-ready data frameworks.
- Define and implement row/column-level security, data masking, and data lifecycle management policies.
- Establish data quality monitoring and remediation frameworks for completeness, redundancy, and compliance tracking, aiming to reduce data quality issues.
- Data Engineering & Operations:
- Oversee the design and orchestration of production ETL/ELT pipelines using tools like Apache Airflow, Auto Sys, and Jenkins.
- Develop and implement dbt transformation layers with schema evolution, lineage tracking, and data quality controls, ensuring every metric is auditable from source to dashboard.
- Experience in operating data platforms at scale, designing for failure with self-healing pipelines, dead-letter-queue recovery, and observability (e.g., Datadog, Splunk) to achieve 99.9%+ uptime.
- Implement CI/CD practices using Git Hub Actions and Jenkins for automated testing and deployment of data assets.
- Leadership & Collaboration:
- Lead and guide engineering teams (e.g., 5-15 resources), providing technical standards, conducting design and code reviews, and owning solution decisions end-to-end.
- Partner with cross-functional stakeholders (Business, IT, Security, Compliance) to align architecture with enterprise initiatives.
- 15+ years of experience in data architecture, data engineering, and data platform leadership, with a strong focus on cloud-native solutions.
- Deep hands-on expertise with Snowflake for large-scale enterprise data warehousing, including DB design, tuning, clustering, Snowpipe, Tasks, Streams, Time Travel, RBAC, and data sharing policies.
- Extensive experience with AWS cloud services for building and managing data platforms, specifically: S3, EMR, Glue, Lambda, SQS, Kinesis, SNS, and IAM.
- Proficiency in Python, SQL, and PL/SQL for data manipulation, scripting, and automation.
- Demonstrated experience with dbt for data transformation and modeling.
- Experience with Apache Airflow for ETL/ELT orchestration.
- Strong command of data governance principles, including RBAC, data quality, metadata management, data lineage, and compliance controls.
- Proven ability to lead large-scale data migration and modernization initiatives (e.g., Teradata to Snowflake, SQL Server…
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