A Data Architect / Lead Engineer is a key client partner in developing data warehousing strategies and ensuring the success of a data warehouse program. This individual can operate both strategically and tactically, addressing both broader program goals and objectives while also managing day-to-day activities and perspectives. This role oversees all technical aspects of a data warehouse program and either directly or indirectly manages the data engineers and integrations development team. The role involves direct client consulting and solutioning, with a heavy focus on establishing best practices and evolving our capabilities.

Role and Responsibilities

    • Provide data architecture expertise and leadership for large-scale client marketing and operations databases.
    • Own master test strategy, deployment, and rollout strategy during project and warehouse execution.
    • Provide opportunities to optimize existing data warehouse structures, processes, and capabilities.
    • Design new methods and processes to ensure maximum effectiveness of investments in technology, shifting manual operations towards automation where possible.
    • Oversee and optimize data pipelines through a variety of ETL tools, including Snowflake and AWS.
    • Evaluate new datasets and determine appropriate ingestion techniques. Work with ETL and data engineers to execute the vision.
    • Work with business intelligence analysts and data scientists to ensure datasets meet reporting needs.
    • Perform analysis and discovery activities to define and scope projects.
    • Assist in milestone management, issues escalation, documentation, scope change identification and status reporting.
    • Attend and lead client calls as SME throughout program.
    • Articulate complex ideas in a clear and concise manner, both in speech and writing; understand the audience and tailor messages accordingly.

Preferred Qualifications

    • 5+ years experience in data engineering and architecture with emphasis on design, implementation, automation, and optimization of cloud warehousing solutions.
    • 2+ years in a consulting role or performing architecture responsibilities in an internal consulting environment.
    • 2+ years leading data warehousing programs or ETL pipelines programs.
    • Experience in cloud technologies (a heavy focus on Snowflake, AWS, Azure) and their capabilities as they relate to customer, digital, and operational data and digital analytics.
    • Experience in data testing techniques, methods, and automation.
    • Experience in integration solutions such as Boomi.
    • Familiarity with Scrum, DevOps, and DataOps methodologies, and supporting tools such as JIRA.
    • Familiarity with reporting solutions such as Tableau is a plus.
    • Advanced skills in SQL or other programming languages is a plus.
    • Consumer or dining domain knowledge is a plus.



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