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Open nowPosted 18 hours ago

Teradata Data Architect

Unison Group

Where
Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
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Your applicationOpen nowTeradata Data ArchitectUnison Group · Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Unison Group's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted 18 hours ago

The posting

  • We are seeking an experienced Teradata Data Architect to design and lead enterprise-scale data architecture, data warehousing, and Lakehouse solutions. The ideal candidate will have strong expertise in Teradata, modern Databricks architecture, data modelling, and large-scale data processing using PySpark. The role involves modernizing legacy data platforms, implementing scalable Lakehouse architectures, and establishing enterprise data governance and security standards.
  • Design and implement enterprise data architecture across Teradata.
  • Architect modern Lakehouse solutions using Databricks, Delta Lake, and cloud data platforms.
  • Lead data warehouse modernization, migration, and integration initiatives from Teradata to Databricks.
  • Design conceptual, logical, and physical data models for enterprise data warehouses and Lakehouse platforms.
  • Develop and optimize data pipelines using PySpark, Spark SQL, SQL, and Databricks workflows.
  • Implement enterprise data governance, data discovery, access controls, lineage, and metadata management using Unity Catalog.
  • Define data ingestion, transformation, ETL/ELT, batch processing, and streaming architecture.
  • Optimize Teradata SQL, Spark jobs, Delta Lake tables, query performance, and overall platform costs.
  • Establish standards for data quality, security, scalability, reliability, and regulatory compliance.
  • Collaborate with data engineers, business analysts, cloud architects, and business stakeholders to translate requirements into technical architecture.
  • Lead architecture reviews, technical design decisions, proof of concepts, and best-practice implementation.

Requirements

  • Strong hands-on experience in Teradata database architecture, enterprise data warehousing, and SQL performance tuning.
  • Proven experience designing modern data architectures using Databricks and the Lakehouse paradigm.
  • Strong knowledge of Databricks Lakehouse, Delta Lake, and Apache Spark architecture.
  • Hands-on experience with PySpark, Spark SQL, and distributed data processing.
  • Experience with Unity Catalog, including data governance, permissions, lineage, metadata, and access control.
  • Strong expertise in data modelling, dimensional modelling, data integration, and ETL/ELT architecture.
  • Experience designing scalable data pipelines, data transformation frameworks, and enterprise data platforms.
  • Knowledge of data security, data quality, data lifecycle management, and architecture standards.
  • Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
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  1. A CV for this posting

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  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

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    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Unison Group's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

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  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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