Lead Data Architect

Data Lead, India office

Location:

Employment Type:

Artefact is a global data and AI consulting services company that helps organizations transform data into tangible business results.

Data Lead

Responsibilities

• Design and develop robust, scalable, and secure data architectures that meet business requirements.
• Lead the implementation of data solutions on various cloud platforms (AWS, Azure, and GCP).
• Define and enforce data governance, quality, and security standards.
• Collaborate with data engineers, data scientists, and business stakeholders to understand needs and translate them into technical solutions.
• Evaluate new technologies and tools to improve our data infrastructure and practices.
• Create and maintain detailed documentation of data architecture, data flows, and processes.
• Provide technical leadership and mentorship to junior team members.
• Stay up-to-date with the latest trends and best practices in data architecture and cloud computing.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Overall 8-12 years of experience with 3+ years of experience in data architecture or a similar role.
• Proven expertise in designing and implementing data solutions on at least one major cloud platform (AWS, Azure, or GCP).
• Solid understanding of cloud-native data services such as:

• AWS:

  Redshift, S3, Glue, Athena, and EMR.

• Azure:

  Synapse Analytics, Data Lake, Data Factory, and Databricks.

• GCP:

  BigQuery, Cloud Storage, Dataflow, and Dataproc.
• Experience with big data technologies (e.g., Spark, Hadoop) and data warehousing concepts.
• Strong knowledge of SQL, ETL/ELT processes, and data modeling techniques.
• Excellent problem-solving skills and the ability to work independently as well as part of a team.
• Strong communication and collaboration skills.

Preferred Skills

• Experience with

  DevOps practices and tools

  (e.g., CI/CD pipelines, Terraform, Docker, Kubernetes).
• Knowledge of

  data governance tools and practices

  .
• Certification in one or more cloud platforms (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Data Engineer, Google Professional Data Engineer).