data Architect

HAN IT STAFFING, INC.

Dallas, United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Big Data Cloud Engineering Databases Continuous Integration Data Architecture Information Engineering Data Governance Data Integration

+42 more

Extract Transform Load (ETL) Data Security Data Systems Data Warehousing Database Design DevOps Python (Programming Language) PostgreSQL Metadata Meta-Data Management Microsoft SQL Server NoSQL Oracle (Applications) Reference Data Cloud Services Privacy Controls Google Cloud Enterprise Software Applications Azure Data Factory Sql Optimization Snowflake Apache Spark Generative AI Data Strategy Togaf Event Driven Architecture Microsoft Fabric Data Lakes Pyspark Kubernetes Data Lineage AWS Glue Apache Kafka Data Management Physical Data Models Video Streaming Terraform Stream Processing Data Pipelines Docker Amazon Redshift Databricks

Job description

Define and own the enterprise data architecture, data strategy, standards, and technical roadmap.
Design scalable data platforms, data lakes, data warehouses, and lakehouse architectures.
Develop conceptual, logical, and physical data models aligned with business and technical requirements.
Architect modern cloud data solutions using AWS, Azure, or Google Cloud Platform.
Design and oversee ETL/ELT pipelines and data integration across enterprise applications and data sources.
Establish data governance, data quality, metadata management, lineage, security, and privacy standards.
Evaluate and recommend databases and data technologies including Snowflake, Databricks, SQL Server, Oracle, PostgreSQL, and NoSQL platforms.
Design high-performance and highly available data architectures capable of handling large-scale data workloads.
Define integration strategies using APIs, event-driven architecture, messaging, and streaming technologies such as Kafka.
Partner with data engineers, architects, developers, DevOps teams, and business stakeholders to translate requirements into technical solutions.
Provide technical leadership, architecture reviews, design standards, and mentoring to data engineering teams.
Drive modernization of legacy data platforms toward cloud-native and modern data architectures.
Ensure solutions meet enterprise requirements for security, compliance, scalability, performance, and cost optimization.

Requirements

15+ years of experience in data architecture, data engineering, or related technology roles.
Extensive experience designing enterprise data architecture and data platforms.
Strong expertise in data modeling, database design, and data warehousing.
Hands-on experience with cloud data platforms such as Azure, AWS, or Google Cloud Platform.
Strong knowledge of Snowflake, Databricks, Azure Data Factory, AWS Glue, Redshift, or equivalent technologies.
Advanced SQL and experience with relational and NoSQL databases.
Strong experience with ETL/ELT, data integration, and data pipeline architecture.
Experience with data governance, master data, metadata, data quality, and data lineage.
Knowledge of Kafka, APIs, event-driven architecture, and real-time data processing.
Experience with Python, Spark/PySpark, or other modern data engineering technologies.
Strong understanding of data security, privacy, access control, and regulatory compliance.
Excellent communication, leadership, architecture documentation, and stakeholder-management skills., * Experience with Data Mesh, Data Fabric, or Lakehouse architecture.
Experience with AI/ML data platforms and Generative AI data architectures.
Experience implementing enterprise MDM and reference data solutions.
Experience with Terraform, CI/CD, Docker, and Kubernetes.
TOGAF or other enterprise architecture certification is a plus.
Experience working in large-sca