Senior Data Architect

Technology and Tools:

• 10+ years' experience in designing and implementing end-to-end data platforms, including
  data lakes, data warehouses, and data integration pipelines.
• Experience designing and developing low-latency and high-throughput enterprise grade data
  architecture ecosystem
• Knowledge of relational and non-relational databases, and big data technologies (e.g.,
  Hadoop, Spark, Kafka).
• Expertise in cloud platforms Azure, Snowflake, Databricks, GitHub, Jenkins etc.
• Strong knowledge of ETL processes and tools for real-time data processing
• Proficiency in building data solutions using tools like Apache Kafka, Apache Airflow, and dbt (Data Build Tool) and Python
• Strong understanding of SQL and data querying best practices
• Proficiency in managing and deploying solutions on cloud platforms such as Azure,
  Snowflake, Databricks
• Experience with data encryption, privacy, and security best practices, including GDPR
  compliance
• Excellent problem-solving and communication skills
• Strong scripting skills in Python, Shell, or similar languages for automation and process
  optimization
• Familiarity with CI/CD pipelines, version control (Git), and deployment automation tools
  (Jenkins, Terraform)
• Familiarity with BI tools such as Tableau, Power BI, or Looker, as well as experience working
  with data scientists and analysts to support analytical workloads

Collaborate with AI/ML teams to ensure data architectures support Gen AI initiatives.

Enable real-time and batch data processing for AI model training and deployment.

Qualifications:

Education: Bachelor's degree in computer science, Information Technology, or a related field. Master's degree preferred

Experience:

• 12+ years overall and at least 8 years of experience in data architecture, data modeling, and database design.
• Proven experience with data warehousing, data lakes, and big data technologies.
• Expertise in SQL and experience with NoSQL databases.
• Experience with cloud platforms (e.g., AWS, Azure) and related data services.
• Skills:
• Strong understanding of data governance and data security best practices.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Ability to work effectively in a collaborative team environment.
• Leadership experience with a track record of mentoring and developing team members.

Certifications:

• Relevant certifications (e.g., Certified Data Management Professional, AWS Certified Big Data Specialty) are a plus.