Senior Data Platform Architect — Hybrid

ViziRecruiter,LLC.; Salisbury, Northern (NC, KY); Hybrid; USD 160,000 - 240,000; Full time

Benefits offered by this job

Hybrid work schedule

Core Salisbury, NC location

Competitive compensation

Job summary

Ahold Delhaize USA is seeking an enterprise data platform leader to define vision, architecture, and operating model for data platforms and data products that accelerate analytics, reporting, and ML across the business.

The role is hybrid with 3 in-person days at Salisbury, NC, and 2 remote days; requires 12+ years in data/platform engineering and expertise in Databricks, lakehouse patterns, CI/CD, security, and governance.

Qualifications

• Bachelor's degree or equivalent years of work experience.
• 12+ years in data/platform engineering with enterprise scope and measurable impact.
• Mastery of data architecture (streaming and batch), lake/lakehouse/warehouse patterns, governance, and security.
• Proven leadership of automation, CI/CD for data, and observability at scale.
• Executive level communication, influence, and stakeholder alignment.
• Deep expertise with Databricks and modern lakehouse architecture, including Spark-based processing, Delta Lake, orchestration, governance, performance optimization, and production operations.
• Demonstrated experience designing, building, testing, and operating scalable batch and real-time data pipelines using SQL and a modern programming language such as Python or Scala.
• Strong knowledge of REST APIs, event-driven architectures, and streaming technologies such as Kafka or comparable platforms.
• Strong background in reporting and analytics, including data modeling and delivery of trusted, analytics-ready datasets for enterprise consumption.
• Proven ability to communicate complex technical concepts to technical and non-technical audiences, manage stakeholders, influence across teams, and serve as a bridge among engineering, business, and transformation teams.
• Practical interest and experience in AI, Generative AI, and emerging technologies, supported by a demonstrated passion for continuous learning.

Responsibilities

• Set the north star data architecture (batch/streaming, lakehouse, MDM, governance) and establish actionable standards, guardrails, and reference implementations.
• Establish product-oriented platform capabilities (self-service ingestion, transformation, orchestration, catalog/lineage, quality) and the internal tooling that enables scalable developer and analyst workflows.
• Define and drive automation standards, including CI/CD pipelines and deployment workflows for data platforms and services.
• Embed security, privacy, and compliance by design, leveraging automation to enforce policies and produce audit-ready evidence.
• Orchestrate reliability and observability across pipelines and platforms (SLOs, cost/performance telemetry, automated remediation), including platform-wide monitoring, logging, and tracing practices (e.g., DataDog).
• Guide cloud service integration and container/orchestration strategy where applicable, ensuring cost-effective scale and predictable performance.
• Maintain and govern infrastructure as code practices (e.g., Terraform, Ansible, CloudFormation) to standardize environments, reduce drift, and improve repeatability.
• Prioritize roadmaps and investments using measurable value, risk reduction, and customer (data consumer) outcomes; evaluate and adopt new technologies to improve platform capabilities.
• Collaborate with development teams to provide reusable infrastructure components, golden paths, and platform patterns that accelerate delivery.
• Mentor principal and senior engineers, grow a community of practice, and raise engineering quality.

Skills

Databricks

Data architecture

Lakehouse

CI/CD for data

Python/Scala

REST APIs

Kafka

AI/Generative AI

Education

Bachelor's degree or equivalent

Tools

Databricks

SAP Business Data Cloud

SAP Datasphere

Delta Lake

Terraform

Unity Catalog

Job description

Ahold Delhaize USA is seeking an enterprise data platform leader to define vision, architecture, and operating model for data platforms and data products that accelerate analytics, reporting, and ML across the business.

The role is hybrid with 3 in-person days at Salisbury, NC, and 2 remote days; requires 12+ years in data/platform engineering and expertise in Databricks, lakehouse patterns, CI/CD, security, and governance.