Sr. Data Architect

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Job description

Job Title: Sr. Data Architect

Location: Atlanta, GA (Hybrid)

Duration: 08 Months

Job Description:

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

Design, implement, and manage the enterprise data management platform that supports Business Intelligence (BI), analytical, and reporting needs across various client s business functions. This position will also assess the current client data inventories such as data sources, master, reference data, data dictionary 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 and other groups outside such as external service providers and Georgia Tech (GT) campus units. This position will also play an advisory role to the Client s 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 states.

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's 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 measures 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, and 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 in 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 modeling 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 and 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, and IBM DataStage.

Knowledge of data management concepts that include structured, unstructured data, batch, and real-time integrations.

Knowledge of developing processes that contribute to the improvement of data models that feed business intelligence tools that facilitate increasing data accessibility and fostering data-driven decision-making across the organization.

Solid knowledge of general data integration and conversion scripting, programming, and workflow development.

Preferred Education

Bachelor's/MS in Computer Science or related technology field.

Relevant Industry certifications are a plus

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