Decision Foundry

Senior Data Architect

Posted 3 Days Ago

Be an Early Applicant

Bengaluru, Karnataka

Senior level

Marketing Tech • Sales

The Role

As the Lead Data Architect, you will design and implement data solutions on cloud platforms, mentor junior engineers, and ensure best practices in data architecture. Your role involves collaborating with clients to deliver robust data solutions and staying updated with trends in data engineering.

Summary Generated by Built In

Description

Welcome to Decision Foundry - Data Analytics Division!

We are proud to introduce ourselves as a certified "Great Place to Work," where we prioritize creating an exceptional work environment. As a global company, we embrace a diverse culture, fostering inclusivity across all levels.

Originating from a well-established 19-year web analytics company, we remain dedicated to our employee-centric approach. By valuing our team members, we aim to enhance engagement and drive collective success.

We are passionate about harnessing the power of data analytics to transform decision-making processes. Our mission is to empower data-driven decisions that contribute to a better world. In our workplace, you will enjoy the freedom to experiment and explore innovative ideas, leading to outstanding client service and value creation.

We win as an organization through our core tenets. They include:

· One Team. One Theme.

· We sign it. We deliver it.

· Be Accountable and Expect Accountability.

· Raise Your Hand or Be Willing to Extend it

About the Job

We are seeking a highly motivated and experienced Senior Data Architect to join our rapidly growing data engineering team. You will play a critical role in shaping our data strategy, architecting and implementing cutting-edge data solutions for our clients, and mentoring our talented team of engineers. The ideal candidate has a strong cloud background, a passion for data, and a proven track record of delivering successful data projects.

Responsibilities

Lead the design and implementation of end-to-end data solutions on various cloud platforms (AWS, Azure, Snowflake).
Provide technical guidance and mentorship to junior data engineers.
Collaborate with clients to understand their business requirements and translate them into robust data solutions.
Develop and maintain data architecture standards, best practices, and documentation.
Stay abreast of the latest trends and technologies in data engineering and cloud computing.
Contribute to the growth of the data engineering practice by identifying new opportunities and developing innovative solutions.

Requirements

Required Experience:

8+ years of experience in data engineering, with at least 3+ years in a lead or architect role.
Proven track record of designing / architecture , building, and deploying complex data solutions in cloud environments (AWS, Azure, and Snowflake).
Experience mentoring and guiding junior team members.

Technologies Expertise:

Cloud Platforms: Deep understanding of AWS, Azure, and Snowflake. This includes services like S3, EC2, Lambda, Azure Data Factory, Azure Databricks, Snowflake's data warehousing capabilities, etc.
Data Warehousing: Strong knowledge of data warehousing concepts and best practices.
ETL/ELT: Expertise in data integration tools and techniques, including building data pipelines using tools like dbt, informatica etc.
Databases: Experience with various database systems, including relational (e.g., SQL Server, PostgreSQL), NoSQL (e.g., MongoDB, Cassandra), and cloud-native databases.
Programming: Proficiency in Python or Java for data processing and automation.
DevOps: Understanding of DevOps principles and tools for CI/CD, infrastructure as code, etc.
Good to have: Familiarity with big data technologies like Hadoop, Spark, Hive, etc.
Good to have: Data science / predictive analytics experience, especially with forecasting and regression analysis.