Digital Solution Architect

Key Skills

Adobe Analytics, Amazon RedShift, Apache Airflow, Apache Hadoop, API, AWS, AWS Glue, ETL frameworks, Google BigQuery, IT, MongoDB, MySQL, Oracle, PostgreSQL, PowerBI, QlikView, Salesforce, SAP, Snowflake

Job Description

What you will do:

• Engage with IT and business teams to uncover business requirements to define technical architecture for customer experience & marketing data solutions
• Develop and maintain system design / architecture maps
• Continuously review landscape to find opportunities to optimize operations, drive cost efficiencies, performance and elevate the user experience
• Engage in technical resource planning and level-of-effort estimation to support project scoping, pricing, and planning including handling SOW for external staff augmentation
• Review solutions proposed by vendor partners to ensure the solution is strategic and adheres to the guardrails of the business
• Continually research current, emerging technologies and industry standards, proposing changes where needed

Required Qualifications

• Bachelor's degree
• 8+ years of designing and implementing digital experience and data marketing solutions
• Strong leadership skills - ability to influence technical and business teams, build strong relationships, deliver feedback, and motivate the team 
• Track record of shaping successful business development of digital and other front office business transformation initiatives
• Hands-on experience with 2+ marketing data technologies (CRM, CMS, DMP, MDM, CDP, EDW). 
• Experience with various Martech/Adtech tools (Adobe, Salesforce, Oracle, Google, Facebook, and similar) and how to integrate technologies into data management solutions.
• Experience of 1+ public cloud offerings (AWS, Azure, and Google Cloud Platform) and how to solution designs that are built around these functional technologies areas: cloud compute, data storage, pub/sub, and workflow orchestration. 
• Understanding and experience of the following: API solutions and toolsets, customer data, and advanced analytics/machine learning
• Experience working with modern frontend frameworks such as React/Express JS as well as exposure to some of the latest Architectures using MACH principles

Preferred Qualifications

• Understanding and experience with ETL tools and methodologies (Informatica, Talend, Spark, AWS Glue, GCP Cloud Dataprep, Azure Data Factory, and similar)
• Experience developing/implementing Digital Commerce solutions - Shopify, SAP Commerce, VTEX etc.
• Experience with data integration and API methodologies and tools (Mulesoft, Dell Boomi, Custom API, Airflow, and similar)
• Experience working with 1P data end to end processing considerations (known/unknown, data privacy, masking etc)
• In-depth understanding of data management platforms including relational and non-relational data engines (MS SQL, MySQL, PostgreSQL, Amazon Redshift, MongoDB, Hadoop, Snowflake, Big Query, and similar)
• Experience working with SAFe framework - PI planning preparation etc
• Understanding of data visualization tools (Domo, Tableau, PowerBI, Qlik, and similar)

#LI-Hybrid

Compensation and Benefits

Salary Range $120,000.00 - $164,850.00 USD

Pay is based on multiple non-discriminatory, individualized factors including but not limited to experience, job-related knowledge and education, skills and office/market location. In addition to base salary, salaried employees are eligible for annual discretionary bonuses, profit-sharing and, for Executive-level (salary grade 16 and above) roles only, long-term incentives in the form of Restricted Stock Units and/or Stock Options.