Data Architect (Snowflake Security Architect)
Contract Independent
Contract Corp To Corp
Contract W2
12 Months
No Travel Required
Remote
Depends on Experience
Tixy Services LLC
Fitment
Dice Job Match Score™
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Job Details
Skills
- Snowflake
- Databricks
- BigQuery
- dbt
- Airflow
- Python
- Git
- Terraform (or similar tools)
- Tableau/Power BI
- Collibra/Alation
- Kafka
Summary
The Architect Data Engineer sets the technical direction for the data engineering practice and serves as a senior-most technical authority across client engagements. They define reference architectures and reusable IP, partner with Business Development on pursuits and proposals, and advise senior client stakeholders on enterprise data platform strategy. They guide Lead and Senior engineers on the most complex initiatives and shape how business delivers data engineering across the portfolio.
Core Responsibilities
- Design and develop scalable ETL/ELT pipelines and data integration practices.
- Architect: Defines reference architectures for data pipelines and integration patterns across the practice.
- Implement and maintain data models (star, snowflake, data vault) to support analytics and reporting.
- Architect: Sets enterprise data modeling direction and arbitrates architecture decisions across engagements.
- Collaborate with data architects, analysts, and platform engineers to deploy and maintain data solutions in cloud environments (AWS, Azure, Google Cloud Platform).
- Architect: Owns multi-cloud data platform POV and partners with vendor and alliance teams on joint solutions.
- Ensure data quality, integrity, and security through validation, monitoring, and governance practices.
- Architect: Defines enterprise data quality and governance reference frameworks and advises clients on adoption.
- Contribute to continuous improvement and automation of data engineering processes.
- Architect: Shapes data engineering accelerators, IP, and delivery methodology across the portfolio.
- Support analytics, data science, and reporting teams with accessible, well-documented, and high-quality data.
- Architect: Aligns data platform strategy with downstream AI/ML, analytics, and product roadmaps at the enterprise level.
Experience
- Architect: 15+ years architecting and leading enterprise data platforms across multi-cloud and multi-engagement environments
- Experience defining reference architectures, accelerators, and reusable IP for a data engineering practice
- Track record influencing senior client stakeholders (VP, CDO, CTO) on data platform strategy and investment decisions
- Experience partnering with Business Development on pursuits, scoping, proposals, and solution defense
- Experience leading and developing other architects, leads, and senior engineers across engagements
Skills
- Expert SQL and data modeling at enterprise scale (performance, scalability, multi-tenant design)
- Deep Python expertise for building reusable data pipeline frameworks and accelerators
- Authoritative knowledge of ETL/ELT architecture, orchestration (Airflow, dbt, Dataflow, Informatica), and streaming patterns
- Multi-cloud data platform mastery (Snowflake, BigQuery, Redshift, Databricks, Azure Fabric) including vendor and partner relationships
- Ability to define reference architectures, evaluate emerging technologies, and shape data engineering POV
- Experience defining enterprise data quality, governance, and security frameworks (lineage, metadata, access, compliance)
- Strong knowledge of infrastructure-as-code, CI/CD, and platform automation at enterprise scale
- Ability to influence C-level and VP client stakeholders on data platform strategy and business cases
- Experience supporting Business Development on pursuits, RFP responses, and architecture defense
- Track record building reusable IP, accelerators, and methodology for a data engineering practice
- Ability to lead, mentor, and develop architects, leads, and senior engineers across the portfolio
- Familiarity with AI/ML data infrastructure, real-time streaming, lakehouse, and data mesh patterns
Delivery Methods
- Agile, hybrid, and waterfall delivery models depending on engagement context
- Experience leading multi-workstream programs and advising on delivery strategy across the portfolio
Tools
Snowflake, Databricks, BigQuery, dbt, Airflow, Python, Git, Terraform (or similar tools), Tableau/Power BI, Collibra/Alation, Kafka
Certifications (Preferred)
Snowflake SnowPro Advanced, Databricks Certified Data Engineer Professional, AWS Data Analytics Specialty, Azure Data Engineer Associate, Google Cloud Platform Professional Data Engineer
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 91173297
- Position Id: 9046563
- Posted 7 hours ago
Company Info
About Tixy Services LLC
Tixy Tech is a reputable consulting and staffing firm that operates across the nation, committed to delivering exceptional resources to cater to our clients' diverse hiring needs in technology, assessment, management, logistics, and accounting/finance.
We specialize in offering comprehensive solutions to address various corporate challenges such as organizational transformations, headcount limitations, budgetary constraints, fundamental shifts in core business operations, staff augmentation requirements, and mergers/acquisitions.
Our primary objective is to provide top-notch consultants who excel at completing your projects within the designated timelines and budgetary limits. With our experienced sales and recruitment team, we make it a priority to thoroughly comprehend your business direction, technical prerequisites, and unique organizational culture. This deep understanding allows us to allocate the best available resources to fulfill your organization's staff augmentation needs effectively.
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