Hiring: Associate Director, Data & Analytics Company: Grant Thornton (US) Location: Atlanta, GA Job Posted Time: 2026-09-16 15:33:47 Target Skills & Keywords : Airflow, Azure, Data Lake, Data Pipeline, Databricks, ELT, ETL, Enterprise Architecture, Event-Driven, Fivetran, Informatica, SaaS, Snowflake, Stakeholder Management, Systems Integration, dbt About the job Experience: •Operational familiarity with analytics and reporting platforms such as Power BI, Tableau, Qlik, or comparable business intelligence tools. •Data pipelines for acquired-company system integration are delivered in alignment with enterprise standards, scope, timeline, and quality expectations. •Snowflake archival solutions are reliable, governed, validated, discoverable, and structured to support retention, reporting, analytics, and future reuse. •Source-to-target mappings, data quality checks, reconciliation outcomes, pipeline documentation, and operational handoffs are complete and supportable. Required Skills: •Grant Thornton is seeking a Data & Analytics Associate Director to join the team. Approved office locations can be found below. •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. •Partner cross-functionally 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. 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. •Applied hands-on capability in Snowflake, including data loading, transformation, schema design, performance considerations, access patterns, and operational support concepts. •In-depth knowledge 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. •Demonstrated capacity 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. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!