6934 - SQL Business Analysis Professional
Locations: Argentina, Bolivia, Colombia, Mexico, Paraguay
Required Skills: SQL
Published: 5 days ago
About This Job:
Leads the design, documentation, and analysis of the business architecture in their area and provides recommendations to ensure the delivery of an integrated, holistic solution. Keeps up-to-date with emerging trends and technologies in software development.
Responsibilities:
- Sets the architectural direction for the data domain that is aligned with business goals. Creates and advances the data architecture vision and strategy.
- Leads project-level architectural reviews and ensures alignment with architectural deliverables, principles, strategies, and standards.
- Leads the design, documentation, and analysis to maintain a holistic view of data assets by creating and maintaining blueprints that illustrate how data is stored, processed, and accessed.
- Drives collaboration efforts and capitalizes on the talents of others to achieve established goals. Coaches and mentors others and assists with problem resolution.
- Facilitates and orchestrates the delivery of targeted business outcomes through architectural decisions.
- Leads the creation of models, architecture design work products, and new technology innovation initiatives within area(s) of responsibility and for the enterprise.
- Collaborates with enterprise, solution, and domain architects to understand the implications of respective architectures on data architecture and maximize the value of information across the organization.
- Works with senior stakeholders and subject matter experts in driving effective data management standards and policies across the organization.
- Provides recommendations on business information that will need to be available and shared consistently across the organization through the identification, definition, and analysis of how information assets aid strategies and business outcomes.
- Assists data and analytics leaders, and business and IT leadership in developing data strategy and governance processes and structures.
- Leads the creation of models, technical standards, and architecture design work products within area(s) of responsibility.
- Leads technology portfolio prioritization efforts and owns the management of technology portfolio within area(s) of responsibility.
- Expands the use and successful delivery of information across the enterprise, resulting in improved decision making.
- Provides strategic recommendations to maximize the value of enterprise data assets, including the external data ecosystem through data exploitation,
envisioning data-enabled strategies and enabling business outcomes through analytics, data and analytics governance, and enterprise information policy.
- Evaluates and recommends emerging technologies for data management, storage, and analytics.
- Provides insight into the relationship of data to business objectives, applications, technology, principles, and standards.
- Represents enterprise architecture by advocating and sharing knowledge. Builds credibility for an initiative by presenting evidence and ensuring that individuals affected are included in the process at the outset.
- Participates as a member of one or more architectural review boards that ensure architecture quality and compliance.
- Leads short and long-term initiatives and road mapping efforts that drive change and gains support for proposed solutions.
- Works with multiple teams under Enterprise Data Management and acts as a leader to influence enterprise direction/approach and the strategic planning process.
- Educates business and IT partners on information architecture. Contributes ideas and makes recommendations to improve the process followed for work product by making it more efficient and effective.
- Preferred: Fivetran implementation exposure.
Required Key Knowledge Skills/Experience:
- 5+ years' working in data architect capacity with multi-platform, distributed applications.
- 3+ years' managing effective data teams focused on data monetization initiatives.
- 3+ years' with Agile, Six Sigma, SDLC, and industry standard Data Management & Data Governance methodologies.
- Deep understanding of data warehousing concepts, including complex data structures, data transformations, and data analytics.
- Knowledge of leveraging unstructured data including imaged documents, 3rd party data, web traffic data, etc.
- Knowledge of enterprise architecture design concepts.
- System modeling and diagramming approaches.
- System integration techniques and patterns.
- Understanding of information security and industry security best practices in regards to data.
- Experience with multi-platform, distributed application implementations across SQL Server, Cloud-based data warehouses such as AWS.
- Excellent written and verbal communication skills; experience working with cross-functional teams, and presenting to leadership.
- Bachelor's/Master's Degree in a related field.
#J-18808-Ljbffr