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Technical Architect - Data Science
Technical Architect - Data ScienceTESTQ Technologies Limited • Delhi, IN
Technical Architect - Data Science

Technical Architect - Data Science

TESTQ Technologies Limited • Delhi, IN
13 days ago
Job description

Description :

We are seeking a highly skilled Technical Architect Data Science to design and lead the implementation of complex, end-to-end data and AI architectures.

This permanent role in Leicester requires proven experience, with 34+ years specifically in a Data Science Technical Architect role (or equivalent seniority).

You will be instrumental in defining ML pipelines, MLOps frameworks, and optimizing solutions across cloud and big-data stacks.

Key Responsibilities & Architectural Deliverables :

1. Data & AI Architecture Design :

  • Platform Definition : Design and define the core components of the enterprise data platform, covering data ingestion, processing, storage, and analytics.
  • MLOps Strategy : Architect and implement scalable model deployment frameworks and MLOps practices to transition machine learning models from experimentation to production reliably and securely.
  • Technology Evaluation : Actively evaluate and select appropriate tools and technologies across the big-data and cloud landscape to meet performance and scalability requirements.

Governance, Optimization & Leadership :

  • Governance & Security : Define and enforce stringent data governance, security, and compliance protocols across all data and ML architectures.
  • Performance & Cost : Continuously optimize solutions for cost-efficiency and performance, particularly concerning data storage (Data Warehouses / Lakes) and processing.
  • Mentorship : Serve as a subject matter expert, providing technical leadership and mentoring development and data science teams on architectural best practices.
  • Core Technology Stack :

  • Programming Languages : Proficiency in key languages for data engineering and science, including Python, R, SQL, Java, and / or Scala.
  • Big Data Processing : Experience with processing frameworks like Spark, Hive, Kafka, and Flink.
  • Data Warehousing / Lakes (Mandatory) : Mandatory architectural experience with modern data warehouse and data lake solutions such as Snowflake, Databricks, Redshift, BigQuery, and / or Synapse.
  • Orchestration : Experience using workflow orchestrators like Airflow and dbt.
  • Required Skills & Experience Summary :

  • ML / DS Libraries : Expertise in libraries like NumPy, Pandas, TensorFlow (TF), PyTorch, and XGBoost.
  • Data Platforms : Practical experience architecting solutions on Snowflake, Databricks, Redshift, BigQuery, or Synapse.
  • Orchestration : Experience with Airflow and / or dbt.
  • Preferred / Nice to Have :

  • MLOps Tools : Direct implementation experience with MLOps platforms like MLflow, Kubeflow, DVC, or TFX.
  • DevOps : Familiarity with CI / CD practices and containerization (Docker / Kubernetes - K8s).
  • BI / Analytics : Exposure to Business Intelligence tools (Power BI, Tableau, or Looker)
  • (ref : hirist.tech)

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    Technical Architect • Delhi, IN

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