Senior Manager, Database Engineering

Job Description

Job Description
 

The Senior Manager of Data Engineering will report to the Senior Director of Data Platform Engineering and AI. This role involves designing, implementing, and managing a comprehensive data strategy tailored to Advanced Auto Parts' needs. As the Senior Manager of Data Engineering, you will play a key role in designing and maintaining the data platform to aggregate large and complex datasets that meet the business requirements across various AAP lines of business. You will collaborate closely with teams to develop tools that provide actionable insights and integrate them with consumer touchpoints.

This position is based in Raleigh, NC, with a hybrid work arrangement requiring attendance in the office a few days per week.

Responsibilities:

• Develop a technical roadmap for the data platform in collaboration with VPs, SVPs, and Product Owners and shadow the AIIC, Hyderabad platform team during EST hours..
• Analyse IT environments to identify capabilities and recommend optimal solutions using available tools.
• Provide mentorship and technical leadership, aligning initiatives with business goals.
• Design large-scale data engineering pipelines from complex data structures.
• Ensure solution designs are flexible, scalable, and meet specifications through collaboration with cross-functional teams.
• Build scalable data marts and models on the cloud, ensuring data quality and accessibility.
• Present analytics results to stakeholders and participate in consultations.
• Communicate complex information effectively with internal and external peers.
• Ideal candidates are detail-oriented, able to manage multiple tasks, and communicate transparently to build trust.
• Work with diverse customer interaction data and design large-scale data engineering solutions.
• Define objectives and oversee project management activities, including team communication and stakeholder management.
• Develop and maintain relationships with various stakeholders, including business partners and IT teams.

Qualifications:

• 7+ years of experience in Data Warehousing, including data modelling and technical architecture.
• 7+ years in Data Engineering and Analytics Systems.
• 7+ years with ETL/ELT processes and building high-volume data pipelines.
• 5+ years in query optimization, data structures, transformation, metadata, and workload management.
• 5+ years in Big Data and cloud architecture.
• 5+ years of hands-on experience building data pipelines on major cloud platforms (GCP, AWS, Snowflake).
• 7+ years of experience in gathering complex requirements and managing stakeholder relationships.
• 7+ years of independently managing deliverables.
• 7+ years of progressively complex experience in cloud data engineering and analysis.
• 5+ years managing large-scale projects and influencing decision-making across multiple workstreams.

Preferred Qualifications

• Sound knowledge in any of cloud Technology is must preferably AWS, Snowflake, Google cloud Platform (GCP).
• Proficiency in developing Complex Data Pipelines, ETLs and Workflows on Cloud Platform optimized for High Volume of Retail Data
• Proficiency in using Cloud Platforms such as GCP/Snowflake/AWS. Knowledge of tools like PySpark and SQL.
• Experience with CI/CD tooling like Jenkins, GitHub to enable robust development pipelines for data and ML.
• Strong knowledge of large-scale search applications and building high volume data pipelines, preferably using PySpark on GCP and It’s native tools such as BigQuery, Airflow, Composer, DataProc, PUB/SUB and DataFlow, Cloud Functions, Cloud Storage, Dataflow, Composer, Kafka, Vertex AI.
• Strong Foundational Knowledge in Agile Methodologies.
• Outstanding written and verbal communication skills for both technical and non-technical audiences at all levels of the organization
• Experience with Retail domain is highly desirable.
• Understanding of AI/ML technology Stack.
• Demonstrated relationship management skills at the senior level; capacity to quickly build and maintain credible relationships at varying levels of the organization simultaneously.
• Experience with complex systems and solving challenging analytical problems
• Knowledge of data visualization and reporting.
• Experience with schema design and dimensional data modelling.
• Experience designing, building, and maintaining data processing systems.

Education

Bachelor’s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required. Master’s Degree preferred.

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