Senior Data Architect

3 weeks ago

Hyderabad, Telangana, India Milestone Technologies, Inc. Full time

At Milestone Technologies, Inc., we are seeking a highly skilled Senior Data Architect to join our team. This pivotal role will play a key role in evolving, deploying, and overseeing our advanced data infrastructure.

Job Summary:

We are looking for a talented professional with expertise in data processing and analytics using Apache Spark, Databricks Delta Live Tables, and Snowflake. The ideal candidate will have experience in cloud native ETL tools (AWS Glue, Azure Data Factory) and Oracle Data Integrator (ODI).

About the Role:

  • The successful candidate will lead the architecture and development of scalable data solutions across both batch and streaming platforms, optimizing the use of cloud technologies (AWS or similar) to meet business and technical demands, including real-time data processing.
  • They will analyze complex data elements and systems, engaging in the development of conceptual, logical, and physical data models, along with the validation and execution of ETL/ELT mappings and transformation logic.
  • Crafting and peer reviewing data models and schemas, enhancing new and current data sources for the data warehouse, ensuring efficiency and scalability is a crucial part of this role.
  • Conducting thorough unit, integration, and system testing of data sources to ensure data integrity against source systems, aiming for continuous performance optimization is also required.
  • This position involves innovating with Snowflake's Snowpark and Snowpipe to architect scalable data management solutions, facilitating real-time data ingestion.
  • Leveraging Apache Spark for comprehensive data processing and analytics, enhancing data workflow efficiency and scalability is essential.
  • Implementing Databricks Delta Live Tables to automate and ensure data ETL processes, maintaining data quality and consistency for real-time analytics is another key responsibility.
  • Maintaining high-performance data pipelines, making extensive use of AWS, Azure, and Databricks, along with seamless integration with Oracle Data Integrator (ODI), is also expected.
  • The successful candidate will utilize cloud native ETL tools to streamline data integration and transformation across diverse data platforms.
  • Developing sophisticated data transformations and machine learning models within Snowflake using Snowpark to boost analytics capabilities is a valuable skill.
  • Ensuring the availability of real-time data and analytics through efficient configuration and optimization of Snowpipe is also important.
  • This role requires collaboration with business stakeholders and IT departments to transform business needs into technical specifications and practical data models.
  • Upholding data governance, security, and compliance standards across all data platforms and tools is a must.
  • The ideal candidate will remain abreast of emerging trends and technologies in data engineering, promoting innovative solutions that propel the data strategy.

Qualifications:

  • Bachelor's or master's degree in computer science, Information Technology, Engineering, or a related field.
  • Proven expertise in data processing and analytics using Apache Spark, with hands-on experience in Databricks Delta Live Tables for managing real-time data.
  • Proficiency in Snowflake, including mastery of Snowpark and Snowpipe, paired with experience in cloud native ETL tools (AWS Glue, Azure Data Factory, Google Cloud Dataflow).
  • Comprehensive background in Oracle, Snowflake, Databricks, and Oracle Data Integrator (ODI) for in-depth data integration and processing.
  • Strong programming skills in SQL, Python, Java, or Scala, with the capability to develop intricate data models and algorithms.
  • In-depth knowledge of data warehousing, data modeling, and data lake concepts within a cloud environment.
  • Exceptional problem-solving skills, complemented by the ability to work both independently and collaboratively.
  • Outstanding communication skills, with proficiency in engaging with both technical and non-technical team members.
  • Experience in managing and leading teams.

Salary:$180,000 - $220,000 per annum, depending on experience.

Benefits:

  • A competitive salary and benefits package.
  • Ongoing training and professional development opportunities.
  • A collaborative and dynamic work environment.
  • The opportunity to work on challenging projects and make a meaningful contribution to the organization.

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