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# Lead Data Architect

- **Company:** Estuate Inc.
- **Location:** Milpitas, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Audit Trail, BigQuery, Software Quality, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Security, Dimensional Modeling, Monitoring of Systems, Identity and Access Management, Key Management, Meta-Data Management, Performance Tuning, Role-Based Access Control, Power BI, SQL Databases, SQL Server Integration Services, Data Streaming, Tokenization, Enterprise Data Management, Google Cloud, Azure Data Factory, Snowflake, Togaf, Apache Kafka, Data Management, Stream Analytics, Amazon Redshift, Databricks
- **Published:** August 21, 2026
- **Apply:** https://www.dice.com/job-detail/7e2e775f-6355-4069-b4a2-271e1909d191

## About the Role

decision forums; document ADRs (Architecture Decision Records). · Mentor data engineers/analysts; set engineering standards for code quality, CI/CD, and operational excellence. · Drive vendor evaluation and selection; support contracting, SOW reviews, and implementation oversight. Required Qualifications · 8-12+ years in data architecture / data engineering / enterprise data platform roles, with 2-5+ years leading architecture. · Strong experience designing cloud-scale data platforms (lake/warehouse/lakehouse) and data integration patterns. · Proven expertise in: o Data modeling (dimensional, normalized, semantic models) o ETL/ELT and pipeline orchestration o SQL and performance tuning o Data governance, lineage, and metadata management concepts · Strong understanding of modern data security patterns: IAM/RBAC/ABAC, encryption, key management, and audit logging. · Experience communicating architecture to both technical and non-technical stakeholders; ability to drive consensus.
Preferred Qualifications (Nice to Have) · Experience with Amazon Redshift, Power BI, and enterprise semantic modeling (tabular models, star schemas, DAX optimization). · Exposure to data mesh, domain-based ownership, and data product operating models. · Experience with streaming/event platforms (Kafka/Kinesis) and real-time analytics patterns. · Familiarity with ML/AI enablement (feature stores, model monitoring, governance). · Certifications: AWS/Google Cloud Platform/Azure data certs, TOGAF (optional), DAMA/CDMP (optional). Key Deliverables · Enterprise data architecture target state and roadmap · Reference architectures, patterns, standards, and ADRs · Data platform designs (ingestion * processing * storage * serving) ·Data models and semantic layer strategy (BI-ready, governed KPIs) · Governance artifacts: classification, lineage, stewardship, access model · Performance/cost optimization recommendations and runbooks Success Metrics · Reduced time to deliver trusted
datasets / analytics products · Improved data quality scores and reduction in recurring data defects ·Increased adoption of governed datasets and standardized KPIs · Platform performance and cost eAiciency (SLA attainment, optimized spend) · Audit readiness and reduction in compliance findings

## Description

lake/warehouse solutions (e.g., AWS Redshift/Snowflake/Databricks/BigQuery/Synapse), including performance, partitioning, and cost optimization. · Lead data integration and ETL/ELT architecture using tools like SSIS/Informatica/dbt/ADF/Glue/Airflow. · Own data modeling strategy: conceptual/logical/physical models, dimensional modeling, and canonical models for key domains. Governance, Quality, and Security · Define and enforce data governance: classification, retention, access controls, and stewardship models. · Establish data quality frameworks (rules, controls, monitoring), ensuring trusted datasets and consistent KPIs. ·Ensure compliance with security and regulatory requirements (PII/PHI/PCI/SOX/GDPR), including encryption, tokenization, and least privilege access. Stakeholder & Program Leadership · Partner with Product Owners, Engineering, Security, and business leaders to align architecture with strategic outcomes. · Lead architecture reviews, design approvals, and technical


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