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Accenture

Advises businesses and runs their technology

Data Platform Architect

Data EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • A minimum of 12 years of experience is required.
  • Proven experience as a Data Architect and Data Engineer leading enterprise-scale Lakehouse initiatives.
  • Expert-level understanding of modern data and analytics architecture patterns, including Data Mesh, Data Products, and Lakehouse Architecture.
  • Excellent programming and debugging skills in Python.
  • Strong experience with PySpark for building scalable and modular ETL/ELT pipelines.
  • Hands-on expertise in at least one major cloud platform: AWS, GCP, or Azure.
  • Experience with cloud-based services relevant to data engineering, data storage, data processing, data warehousing, real-time streaming, and serverless computing.
  • Strong background in data modeling and data warehousing concepts.
  • Working knowledge of dbt (Data Build Tool) is a plus.
  • Databricks Certified Professional certification or similar certifications.
  • Knowledge of machine learning concepts and experience with popular machine learning libraries.
  • Knowledge of big data processing technologies such as Spark, Hadoop, Hive, and Kafka.
  • Experience with Apache Airflow for data orchestration.
  • Knowledge of CI/CD pipelines and DevOps practices in a cloud environment.
  • Experience with ETL tools such as Informatica, Talend, Matillion, or Fivetran.
  • Familiarity with dbt (Data Build Tool).

Responsibilities

  • Architect the data platform blueprint and implement the design, encompassing relevant data platform components.
  • Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
  • Design and build complex pipelines using Delta Lake, Auto Loader, Delta Live Tables (DLT), and deployment using Asset Bundles.
  • Architect data ingestion and transformation using DLT Expectations, modular Databricks Functions, and reusable pipeline components.
  • Lead implementation of Unity Catalog, including creating catalogs and schemas, role-based access policies, lineage visibility, and data classification tagging for PII and PHI.
  • Guide organization-wide governance via Unity Catalog setup, including workspace linkage, SSO, audit logging, external locations, and Volume access.
  • Enable cross-platform data access using Lakehouse Federation to query live from externally hosted databases.
  • Integrate Databricks Marketplace to consume third-party data and publish internal data assets securely.
  • Govern and manage Delta Sharing for securely sharing datasets with external partners or across tenants.
  • Design and maintain PII anonymization, tokenization, and masking strategies using Databricks functions and Unity Catalog policies to meet GDPR/HIPAA compliance.
  • Architect Power BI, Tableau, and Looker integration with Databricks for live reporting and visualization over governed datasets.
  • Build Databricks SQL Dashboards to provide stakeholders with real-time insights, KPI tracking, and alerts.
  • Apply performance optimization techniques.
  • Lead cross-functional initiatives across data science, analytics, and platform teams to deliver secure, scalable, and value-aligned data products.
  • Provide thought leadership on adopting advanced features such as Mosaic AI, Vector Search, Model Serving, and Databricks Marketplace publishing.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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