Data Architect
Job Description
Central Data Office – Data Architect
Role Summary
Our client's Central Data Office (CDO) aims to build enterprise data sets and treat data as a strategic asset to maximize business value. The Data Architect will collaborate with data architects, SMEs, engineers, and developers to design and govern enterprise-level data architectures, ensuring alignment with corporate data principles and standards. This position reports to the Data Architect Manager.Key Responsibilities
- Design and maintain conceptual and logical data models aligned with enterprise data strategy.
- Partner with data governance teams to develop and maintain business glossaries, data dictionaries, and catalogs.
- Define and implement data management strategies, including master/reference data frameworks.
- Ensure data solutions meet requirements for security, access, and classification.
- Consult on projects to ensure compliance with enterprise data architecture principles.
- Collaborate with business and IT teams to support data needs and improve business processes.
- Provide technical guidance and mentoring to data professionals and project teams.
Required Skills & Experience
- Bachelor's or Master's in Computer Science, Engineering, Business, or related field.
- 3+ years in data design/architecture with strong understanding of data modeling (conceptual, logical, physical).
- Hands-on experience with SQL Server, E/R Studio, data profiling, and data quality analysis.
- Knowledge of data governance and MDM (Master Data Management) concepts.
- Strong communication, collaboration, and leadership skills; experience working in agile teams.
- Self-starter, proactive, and comfortable working in a fast-paced environment.
Preferred Skills
- Experience with MDM tools (Precisely EnterWorks) and data catalog tools (Collibra).
- Knowledge of data warehouse, data lake, and data hub architectures.
- Familiarity with XML, JSON, Python, and API integration concepts.
- Understanding of TOGAF and DAMA DMBoK v2 frameworks.
- Exposure to SAP / HANA and related data extraction tools.
More Info
Key Skills
data quality analysis
data catalog tools
MDM Master Data Management
E R Studio
DAMA DMBoK v2
About Company
Skills:
Sparql, BigQuery, Pyspark, Dataproc, Sql, Apache Nifi, Tensorflow, Apache Airflow, Cloud Storage, Pytorch, DataFlow, Python, Cloud Functions, SHACL, Data Modeling Techniques and Methodologies, Pub Sub, Cloud Run, IAM APIs, Vertex AI
Skills:
Spark SQL, Workflows, Pyspark, Data Quality, Sql, Terraform, Python, Databricks on AWS, regulated-data experience, Databricks Vector Search, lineage reconciliation, idempotent data pipelines, operational serving, DLT, CI CD, Entity resolution, pgvector embeddings, Unity Catalog, Data Architecture Lakehouse, SQL Warehouse, Delta Lake, semantic search
Skills:
Kafka, Json, Avro, Bash Scripting, MySQL, Postgres, Oracle, Python, Pyspark, Apache Flink, Apis, Mongo, Apache Spark, Impala, UNIX, Sql, Git, Spark Streaming, Hive, orc, Hadoop ecosystem components, NiFi, Parquet, NoSQL databases, Text, HDFS, CI CD tools
Skills:
snowflake , Systems Analysis, Data Architecture, Data Modeling, Sql, Process Modeling, Data Quality, Collibra, Azure, project management, cloud-based data platforms, data visualization tools, data governance tooling
Skills:
cloud platform , Kafka, Data Modeling, Data Governance, Data Warehouse, ELT, Nosql, Python, AWS, BigQuery, Apache Spark, Data Warehousing, Sql, Gcp, Amazon Redshift, Data Lake, Databricks, Azure, Etl, Medallion Architecture, Trino, Data access management, Data marketplace, Big Data Architecture, Distributed data processing, Data Lakehouse, rbac, Data lake technologies