Senior Data Architect Lead

6 days ago


Mumbai, Maharashtra, India Altysys Full time

About Us:
Altysys is a pioneering technology solutions company that harnesses data to drive business revolution. We excel in crafting scalable and efficient solutions for our clients, ensuring optimal outcomes through cutting-edge technology and expertise.

Job Overview:
We are seeking an exceptional Senior Data Architect Lead to spearhead our data architecture initiatives. The ideal candidate will possess profound expertise in AWS, Python, GitHub, Spark, and SQL, and will be responsible for leading our data architecture team, designing robust data pipelines, and ensuring seamless integration across our data ecosystem.

Estimated Salary: $175,000 - $250,000 per year

The ideal candidate will have 5+ years of experience in data engineering with a focus on cloud-based solutions, a proven track record of managing and leading data engineering teams, and strong problem-solving skills. If you are passionate about data engineering and thrive in a fast-paced, collaborative environment, we encourage you to apply.

Key Responsibilities:

  • Lead and manage a team of data architects, providing mentorship, guidance, and technical expertise.
  • Design, develop, and optimize scalable and reliable data pipelines using AWS.
  • Implement data processing workflows using Apache Spark for big data transformation and analysis.
  • Develop, maintain, and improve data integration processes using SQL and Python to ensure efficient data flow between systems.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions that support business analytics, data science, and machine learning initiatives.
  • Oversee code management and version control practices using GitHub, ensuring code quality and adherence to best practices.
  • Monitor and troubleshoot data pipelines to ensure data quality, reliability, and performance.
  • Maintain up-to-date knowledge of industry trends and best practices, ensuring that the data engineering team uses modern and efficient tools and technologies.
  • Establish and enforce data governance and security protocols to ensure compliance with industry standards.

Technical Skills Required:
  • AWS Cloud Services: Expertise in S3, Redshift, EMR, Glue, Lambda, and other relevant AWS tools.
  • Python: Proficient in Python for data manipulation, ETL development, and integration with cloud services.
  • Apache Spark: Strong experience with Spark for large-scale data processing and transformation.
  • SQL: Advanced knowledge of SQL for data modeling, querying, and database management.
  • Github: Hands-on experience with version control and collaborative development using Github.

Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field required
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