Sr. Data Architect

Padmore Global Connections LLC; Atlanta (GA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Georgia Tech Research Institute (GTRI) seeks a senior data architect to design, implement, and manage an enterprise data management platform supporting BI, analytics, and reporting across GTRI functions. The role assesses data inventories, sources, master data, metadata standards, and security policies.

The position collaborates with ESD, external providers, and GT units, advising on governance best practices and data stewardship processes to secure data assets.

Qualifications

• 10+ years in architecting on prem and cloud-based enterprise data solutions.
• End-to-end data solutions across Data Warehouse, BI, Big Data, and MDM.
• Experience with data governance frameworks and EDM implementations.
• Knowledge of data visualization tools and data integration concepts.
• Ability to collaborate with security, legal, and IT teams on standards.

Responsibilities

• Create short- and long-term data strategy roadmaps for enterprise data platforms.
• Design blueprints for data architecture and reference architectures.
• Develop conceptual/logical data models reflecting enterprise data models.
• Evaluate emerging data tools and technologies for enterprise use.
• Collaborate with ETL, Data Warehouse, and Reporting teams on data quality.
• Work with security to ensure proper data classification and privacy controls.
• Oversee database performance optimization with DBAs as needed.
• Facilitate integration of Tableau and Cognos for reporting requirements.

Skills

Data governance

Data architecture

Data modeling

Cloud data solutions

Stakeholder collaboration

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science or related field

Relevant Industry certifications

Tools

Tableau

Cognos Analytics

Power BI

IBM DataStage

Oracle Database

Job description

Interview Type

Either Web Cam or In Person

Work Arrangement

Hybrid

Engagement Type

Contract

Short Description

Plans and schedules team resources, status reporting and completion of required documentation for team assignment and projects. Analyzes and develops work or project plans for team assignments. Analyzes and implements solutions. Supervises subordinates.

Complete Description

JOB PURPOSE

Design, implement, and manage the enterprise data management platform that supports Business Intelligence (BI), analytical and reporting needs across various Georgia Tech Research Institute (GTRI) business functions. This position will also assess the current GTRI data inventories such as data sources, master, reference data, data dictionaries definitions, standards, and metadata management including policies that define, name, structure, and secure data assets.

IMPACT & INFLUENCE

This position will interact on a consistent basis with the management and personnel within GTRI and other groups outside GTRI such as external service providers and Georgia Tech (GT) campus units. This position will also play an advisory role to the GTRI Enterprise Systems Department (ESD) Director in areas such as Data Governance best practices and data Stewardship processes.

Primary Job Responsibilities

• Create and implement short-term and long-term data strategy roadmap to reflect GTRI strategic initiatives that comprises of Enterprise Data Warehouse, Data Marts, Operational Data Stores, Metadata, Master Data, and Big Data (Data Lake, Data Lakehouse).
• Create, maintain, and evolve data architecture blueprints and reference architecture for current, transitional, and future state.
• Design conceptual and logical data models and flowcharts that reflect a true and practical Enterprise Data Model and Architecture.
• Possess an innovative mindset that contributes to the experimentation and recommendation of industry latest tools and technologies for solving complicated enterprise level data problems.
• Collaborate with the ESD ETL, Datawarehouse and Reporting team to gather and store data from internal and external data sources, and implement data quality measure that include data profiling and data quality rules management.
• Collaborate with multiple functions (security, legal, etc.) to establish standards and policies to ensure enterprise information assets are properly classified, secured, protected by appropriate access management and privacy controls (in-flight and at rest)
• Manage information security, which includes information sensitivity analysis and management, access and audit control systems, encryption and other data protection techniques.
• Work with the ESD Database Administrators (DBAs) to optimize Oracle database systems for performance as required.
• Facilitate integration of Data visualization tools such as Tableau and Cognos that are widely used at GTRI to provide reporting and metrics requirements. with Oracle database, IBM DataStage, and other data sources.

Qualifications

• 10+ years experience architecting on prem and cloud-based enterprise data solutions
• Solid expertise architecting and delivering end-to-end data solutions within an enterprise (Data Warehousing, Analytics, BI, Big Data,Operational Data Store, Metadata, Master Data; on prem/cloud)
• Expertise in designing, building and managing Enterprise Data Warehouse and Business Intelligence (BI) platforms.
• Knowledge of data process modelling for an enterprise and business function-specific data architecture (conceptual, logical & physical) designed for scalability, consistency, integrity, and quality
• Knowledge of data governance framework that establishes, develops an Enterprise Data Management (EDM) framework that aligns with the overall enterprise data governance policies.
• Knowledge of Data visualization tools such as PowerBI, Tableau and Cognos Analytics,
• Knowledge of technology platforms such as MuleSoft, IBM DataStage.
• Knowledge of data management concepts that includes structured, unstructured data, batch, real-time integrations.
• Knowledge of developing processes that contribute to the improvement of data models that feed business intelligence tools that facilitates increasing data accessibility and fostering data-driven decision making across the organization.
• Solid knowledge of general data integration and conversion scripting, programming, workflow development.

Preferred Education

Bachelors/MS in Computer Science or related technology field.

Relevant Industry certifications are a plus