Key Facts

Remote From:

India

Fixed term

Senior (5-10 years)

English

Hard Skills

Other Skills

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Collaboration
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Communication
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Leadership
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Critical Thinking
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Analytical Thinking
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Problem Solving

Roles & Responsibilities

Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
Over 15 years of experience in data architecture and data warehousing.
Extensive experience with data warehouse platforms like Teradata and Oracle.
Deep understanding of big data technologies such as Hadoop, HDFS, Hive, and Spark.

Requirements:

Lead the development and implementation of data architecture strategies.
Design and oversee enterprise data warehouses, data lakes, and big data platforms.
Establish best practices for data modeling, integration, and management.
Drive the architecture, design, and implementation of scalable data solutions.

Job description

We are looking for an experienced Lead Data Architect to join our team and drive the architecture, design, and implementation of our data platforms. The ideal candidate will have extensive experience with data warehouse technologies, including Teradata, Oracle, Databricks and Snowflake, as well as expertise in big data platforms like Hadoop. You will be responsible for leading the design and development of scalable data solutions that support our organization’s strategic goals.

Key Responsibilities:

Lead the development and implementation of data architecture strategies that align with business objectives.
Design and oversee the architecture of enterprise data warehouses, data lakes, and big data platforms.
Establish best practices and standards for data modeling, integration, and management.
Data Architecture and Strategy

Education:

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

Experience:

15+ years of experience in data architecture, data warehousing, and big data solutions.
Extensive experience with data warehouse platforms such as Teradata and Oracle.
Deep understanding and hands-on experience with big data technologies like Hadoop, HDFS, Hive, and Spark.
Proven track record of designing and implementing large-scale data architectures in complex environments.

Skills:

Strong expertise in data modeling, data integration (ETL/ELT), and database design.
Proficiency in SQL, PL/SQL, and performance tuning in Teradata, Oracle, and other databases.
Familiarity with cloud data platforms and services is a plus (e.g., AWS Redshift, Google BigQuery, Azure Synapse).
Experience with data governance, security, and compliance best practices.
Excellent problem-solving, analytical, and critical-thinking skills.
Strong leadership, communication, and collaboration abilities.

Preferred Qualifications:

Experience with additional big data and NoSQL technologies (e.g., Cassandra, MongoDB).
Familiarity with data visualization and BI tools (e.g., Tableau, Power BI).
Experience with cloud-based data architectures and hybrid data environments.
Certifications in data architecture, data warehousing, or related areas.
Selected applicant will be subject to a background investigation, which will be conducted and the results of which will be used in compliance with applicable law.