Associate Director, Data & Analytics - Enterprise Pipelines

Grant Thornton; Edison (NJ); On-site; USD 172,000 - 250,000; Full time

Job summary

Grant Thornton is seeking a Data & Analytics Associate Director to design and implement enterprise data pipelines that support M&A integration and archival in Snowflake. You will partner with data architecture, security, and business teams to deliver governed, reusable data solutions and ensure scalable data movement across acquired-company systems.

The role emphasizes data quality, metadata, and adherence to enterprise standards while enabling analytics, reporting, and long-term data asset

Qualifications

• 8+ years of experience in data engineering, data integration, data architecture, analytics engineering, application integration, or related enterprise technology roles.
• Demonstrated experience designing and implementing production data pipelines using modern ETL/ELT, orchestration, data warehousing, data lake, or cloud data platform technologies.
• Hands-on experience with Snowflake, including data loading, transformation, schema design, performance considerations, access patterns, and operational support concepts.
• Experience integrating data from multiple enterprise systems, acquired-company systems, SaaS platforms, ERP systems, operational applications, or legacy technology environments.
• Strong understanding of source-to-target mapping, data transformation, data validation, reconciliation, data quality, metadata, lineage, and pipeline monitoring practices.
• Knowledge of enterprise data architecture standards, data security, access management, privacy, data retention, archival patterns, and governed data delivery practices.
• Experience working with business stakeholders, application teams, architects, security, infrastructure, vendors, and delivery partners to translate requirements into implemented data solutions.
• Ability to work in a fast-paced integration environment with multiple priorities, dependencies, delivery milestones, and business continuity requirements.
• Strong problem-solving, communication, documentation, and stakeholder management skills, with the ability to explain technical concepts clearly to both technical and business audiences.
• Bachelor’s degree in Information Systems, Computer Science, Engineering, Data Analytics, Business, or related field required; advanced degree or relevant cloud/data certifications preferred.

Responsibilities

• Design and implement enterprise data pipelines that support the integration of systems, applications, and data assets from acquired companies.
• Build data ingestion, transformation, validation, and archival patterns that align with enterprise data architecture, security, governance, and operational standards.
• Implement data archival solutions in Snowflake that support acquired-company integration, historical reporting, data retention, compliance, and future analytics needs.
• Partner with data architecture and enterprise architecture teams to ensure pipeline designs follow approved architecture patterns, naming conventions, metadata practices, access controls, and integration standards.
• Collaborate with M&A integration, application, infrastructure, security, and business teams to understand source-system requirements, data dependencies, integration timelines, archival needs, and target-state usage patterns.
• Translate business, technical, and integration requirements into data pipeline designs, data mappings, transformation logic, quality rules, and deployment plans.
• Develop and maintain scalable data engineering processes for batch, incremental, and event-driven data movement, where appropriate, across enterprise platforms and acquired-company systems.
• Establish data quality checks, reconciliation routines, exception handling, monitoring, and operational controls to ensure pipelines are reliable, auditable, and production-ready.
• Support data migration and archival activities by coordinating source extracts, transformation rules, target loading, validation outcomes, and issue resolution across internal and partner teams.
• Work with analytics and reporting stakeholders to ensure integrated and archived data assets are structured to support downstream business intelligence, analytics, AI, and operational reporting use cases.
• Partner with implementation vendors and technology teams to coordinate delivery activities, resolve blockers, validate deliverables, and ensure adherence to enterprise standards.
• Create and maintain technical documentation, including data flow diagrams, pipeline specifications, source-to-target mappings, operational runbooks, metadata, and support handoff materials.
• Support go-live readiness, cutover planning, data validation, post go-live hypercare, and transition of pipelines to steady-state data operations.
• Identify opportunities to improve data engineering patterns, automation, reuse, performance, cost efficiency, data observability, and operational supportability.
• Act as a data engineering leader within the Data & Analytics function, promoting strong engineering discipline, secure data handling, and consistent implementation practices.
• Other duties as assigned.

Skills

Data engineering

Data integration

Data architecture

Analytics engineering

Application integration

Enterprise technology

Education

Bachelor’s degree in Information Systems, Computer Science, Engineering, Data Analytics, Business, or related field

Tools

Snowflake

Azure Data Factory

Databricks

dbt

Informatica

Fivetran

Matillion

Airflow

Job description

Grant Thornton is seeking a Data & Analytics Associate Director to design and implement enterprise data pipelines that support M&A integration and archival in Snowflake. You will partner with data architecture, security, and business teams to deliver governed, reusable data solutions and ensure scalable data movement across acquired-company systems.

The role emphasizes data quality, metadata, and adherence to enterprise standards while enabling analytics, reporting, and long-term data asset