Data Architect – Azure Data & Analytics (Data Factory, Synapse, Databricks)

Job Summary:
The Principal Data Engineer is responsible for the design development testing maintenance and support of enterprise data assets. Provides technical design development and analytical support. Enables improvements in environment design efficiency controls and the overall user experience of enterprise data assets and leads activities. Coordinates with senior leadership several enterprise support organizations and end users.

Responsibilities:
50% Continuously delivers and improves prioritized enterprise data assets that enable the growth of global analytics reporting and visualization solutions.

20% Provides expertise in all end-to-end components in our BI/DW architecture and knows how they contribute to compose solutions for business partners. Demonstrates strong command of both technical delivery as well as comprehension of various business functions. Understands the role of various enterprise applications.

5% Identifies project risks and impediments notifies management and proactively works with other team members to complete assigned tasks as defined by project scope timelines and budgets.

5% Participates in the use of Agile practices to elicit and refine requirements through an iterative process of planning defining acceptance criteria prioritizing developing and delivering enterprise data asset solutions.

10% Operates independently functions as the lead representative for D&A on projects. Drives and sets design patterns for all of D&A.

10% Drives process improvement to continually raise the bar as the primary owner of function platform or process. Drives best practices across the organization. Recognizes process deficiencies and takes independent action to improve.

5% Performs other duties as assigned.

Additional Requirements:
Bachelors degree applicable certification or equivalent experience.
Typically requires 8 years of professional experience and mastery of relevant technical or business skills required to accomplish the job.
Masters Degree required Computer Science Information Systems or a related field. An equivalent combination of education and experience may be considered.
Expert in SQL and query optimization for data platforms such as Azure SQL DW HDInsight Teradata SAP BW/HANA or Oracle
Expert in database concepts including normalization indexing physical and logical modeling creation of SQL queries and performance tuning
Familiarity with the Kimball methods of data warehousing techniques standards and best practices
Experience with management of a star schema implementation and related concepts such as slowly changing and late arriving dimensions
4 years professional experience with one or more ETL tools such as Informatica SQL Server Integration Services Business Objects Data Services or IBM Datastage
Sound judgment and decision-making and the appropriate sense of urgency and is a self-starter
Familiarity with data content from typical Supply Chain scenarios or experience in environments integrated with data from SAP ERP or Microsoft Dynamics a plus
Experience with large scale data processing data structure optimization and scalability of algorithms a plus
Experience with Microsoft Azure: Data factory data lake and data warehouse a bonus
Travel: Occasional - 10%
Work Schedule: Standard Hours

Career Band: Professional
Jobs on this career band have a knowledge management focus and are primarily responsible for results achieved through their own work. Requires the application of theoretical knowledge typically gained through formal education or equivalent work experience that provides knowledge of and exposure to fundamental theories principles and concepts of a defined profession. Jobs at higher career levels may guide small teams in their area of subject matter expertise. Jobs at the at the most senior levels of this career band set disciplinary strategy within their areas of expertise.

Criteria & Management Requirements:
Problem Solving: Identifies and solves complex problems that impact multiple areas. Applies independent analysis based on in-depth research and critical thinking to recommend solutions.
Decisions: Routinely analyzes unique issues or problems and functions with a high degree of autonomy.
Knowledge: Requires specialized knowledge and expertise in own job discipline and deep experience in integrating related disciplinary knowledge. Applies specialized knowledge of industry standards/practices on key projects and initiatives.
Business Acumen: Interprets internal/external business challenges. Recommends best practices to improve products processes or services to distinguish from the competition.
Communication & Influence: Communicates difficult concepts and negotiates with others to adopt a different point of view. Converts technical information to compelling business context and advice.
Impact: Decisions will have significant impact to multiple departments or disciplines.
Leadership: Manages projects and end to end programs with moderate resource requirements risk and/or complexity. Provides training and leadership for other team members. Key role in planning and coordinating with others for projects or tasks. May contribute input to the performance review of other team members. Primary role is an individual contributor however may also manage one lower level employee.

Work Environment: Typical Office

Other Work Environment Requirements:
Typical Office: Operates in a typical office environment routinely uses computer and other standard office equipment.

Other Physical Requirements:
Typical Office: Generally sedentary for prolonged periods may occasionally require ability to move about or adjust/move items weighing up to 10 all directions; Constantly requires collaboration and the ability to communicate with others to exchange information while in a typical office setting. Collaboration is generally conducted in person unless the role has been pre-approved for remote work.

CLOTHING FOR POSITIVE CHANGE (C4PC)
From the farm to the factory to our closets we all have an opportunity to create positive change through clothing as we work to fundamentally change the way clothing is made.

Do you want to join a team committed to creating positive change in the world through the C4PC movement

Consider prAna where you can transcend the current trends and demand more from your wardrobe and your employer; where you can help an enthusiastic and loyal audience celebrate the outdoors and their own unique style; and where you can help lessen our impact on the planet and its people every day.

ABOUT THE POSITION

Were looking for a Data Architect to design and implement prAnas modern data and analytics platform. This role will define the architecture data models and governance standards that enable scalable trusted insights across the business. Youll partner closely with stakeholders to translate business requirements into robust data solutions that power decision-making.

HOW YOULL MAKE A DIFFERENCE

• Design and implement enterprise data architecture leveraging Microsoft Azure Data & Analytics services and Databricks for scalable ingestion transformation and storage.
• Develop logical and physical data models that align with business processes ensuring clarity consistency and performance across analytics and reporting layers.
• Partner with business teams to gather requirements and translate them into data architecture blueprints semantic models and KPI frameworks.
• Establish standards for data governance security and quality including lineage and metadata management.
• Build and optimize data pipelines and orchestration workflows using Azure Data Factory Databricks and related tools.
• Enable self-service analytics by designing certified datasets and semantic layers for Power BI.
• Continuously evaluate emerging technologies and recommend improvements to enhance scalability and reliability.

YOU ARE

• A strategic thinker who can bridge business needs and technical design.
• Collaborative and skilled at influencing cross-functional teams.
• Detail-oriented with a passion for data integrity and architecture best practices.
• Comfortable leading technical discussions and mentoring others.

YOU HAVE

• 7 years in data architecture data engineering or BI roles; 2 years in an architect or lead capacity.
• Expertise in data modeling (conceptual logical physical) and dimensional design for analytics.
• Hands-on experience with Microsoft Azure Data & Analytics services (Data Factory Databricks Synapse Data Lake).
• Strong SQL and experience with ETL/ELT frameworks.
• Familiarity with Power BI semantic modeling and governance.
• (Preferred) Exposure to ERP analytics (SAP) or similar enterprise systems.

Salary Range: 145000 Min 242000 Max Annual
**Pay decisions are determined by multiple factors including what the market is paying a candidates capabilities and skills years of experience and internal equity.**

#LI-JD1

Columbia Sportswear Company and our portfolio of brands including Columbia SOREL Mountain Hardwear and prAna know a thing or two about adventures. After all weve been on one since 1938 working to perfect the art of enjoying the outdoors. Behind everything we make is an employee whos found that the greatest adventure starts with joining a company that strives to do the right thing.

This job description is not meant to be an all-inclusive list of duties and responsibilities but constitutes a general definition of the positions scope and function in the company.