Job Description

TITLE: Data Architect / Data Analyst

POSITION TYPE: Full Time (W2)

LOCATION: Irving, Texas

ABOUT WorldLink:

WorldLink is a rapidly growing information technology company at the forefront of the tech transformation. From custom software development to cloud hosting, from big data to cognitive computing, we help companies harness and leverage today’s most cutting-edge digital technologies to create value and grow.

Collaborative. Respectful. Work hard Play hard. A place to dream and do. These are just a few words that describe what life is like at WorldLink. We embrace a culture of experimentation and constantly strive for improvement and learning.

We take pride in our employees and their future with continued growth and career advancement. We put TEAM first. We are a competitive group that like to win. We're grounded by humility and driven by ambition. We're passionate, and we love tough problems and new challenges. You don't hear a lot of I don't know how or I can't at WorldLink. If you are passionate about what you do and having fun while doing it; tired of rigid and strict work environments and would like to work in a non-bureaucratic startup cultural environment, WorldLink may be the place for you.

For more information about our craft, visit .

WHO we’re looking for:

We are looking for a Data Architect / Data Analyst to join our team.

Role and Responsibilities:

• Lead and guide data architecture design and principles, data integrity, reference data, data model version, and metadata standards for data platform.
• Collaborate with business and development teams to address data issues and data feed changes.
• Collaborate with architecture and business users to review architecture design, evaluate technology tools, and technical solutions to influence business decisions.
• Lead and execute data management strategy, define data quality measures, develop automated data validation control process using programing languages and tools, and dashboard monitoring process with automated alerts.
• Identify critical data elements, create data catalog and data lineage for reporting and downstream data feeds.
• Evaluate and review overall data flow adhering with data architecture standards, review with stakeholders, and enhance data governance oversight with change management process.
• Assess complex data flows and identify opportunities to simplify end-to-end data processes.
• Perform data and business process analysis to identify data issues and root causes and implement resolutions.
• Contribute design and development of technical and business solutions for data and reporting.
• Engage with global engineering teams and business partners to create business and functional requirements and solutions.
• Led project plans with cross program interdependencies for end-to-end implementation.
• Develop scalable and resilient data pipelines with real-time and batch processes into data warehouse.
• Support reporting application and downstream changes and testing.

Required Experience and Education :

• 7-8 years of experience in data architecture and data analysis.
• Bachelor’s degree in computer science, engineering, or related field required.
• Expertise in scalable data and event-driven enterprise architecture design, data management and data strategy.
• Experience using Hadoop, Hive, and SQL.
• Visualization knowledge – Tableau and Power BI.
• Strong experience in leading the implementation of enterprise data architecture and data engineering utilizing best engineering practices.
• Strong experience in design data management solutions and implementing including data control, data lineage, data catalogue, and security access.
• Expertise in modern data architecture and technology.
• Experience in data modeling for a large data warehouse, operational and analytical data stores.

Necessary Skills and Attributes:

• Self-motivated individual with the ability to thrive in a team-based or independent environment.
• Detail-oriented with strong organization skills.
• Ability to work in a fast-paced environment.
• Limited supervision and the exercise of discretion.
• Excellent verbal and written communication skills, enabling effective collaboration with cross-functional teams, stakeholders, and management.
• Proven ability to effectively use complex analytical, interpretive and problem-solving techniques and execute plans.
• Passion and commitment for process and design simplification.

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