Data Architect

Designation: Data Architect

About Us

TheMathCompany or MathCo is a global Enterprise AI and Analytics company trusted

by leading Fortune 500 and Global 2000 enterprises for data-driven decision making.

Founded in 2016, MathCo builds custom AI and advanced analytics solutions to solve

enterprise challenges through its hybrid model. NucliOS, MathCo’s proprietary platform,

enables connected intelligence at a lower total cost of ownership (TCO).

At MathCo, we foster an open, transparent, and collaborative culture, making it a great

place to work. We provide exciting growth opportunities and value capabilities and attitude

over experience, enabling our Mathemagicians to 'Leave a Mark'.

Job Description

We are seeking for a Data Architect with over a decade of experience designing scalable

data platforms and enterprise data models. This role requires strong knowledge of

SQL/NoSQL databases, distributed systems, and cloud ecosystems across AWS, Azure,

or GCP. The ideal candidate will build high-volume data pipelines, real-time streaming

solutions, and robust ETL/ELT frameworks. Proficiency with tools like Spark, Databricks,

Snowflake, and major integration platforms is essential. You will design secure, compliant

data architectures aligned with GDPR, HIPAA, or CCPA. Additionally, you will drive data

governance practices including cataloguing, lineage, and access control.

Key Responsibilities

• Experience in understanding and translating data, analytic requirements and

functional needs into technical requirements while working with global customers.

• Design cloud-native data architectures that support scalable, real-time, and batch

processing.

• Build and maintain data pipelines to support large scale data management in

alignment with data strategy and data processing standards.

• Define strategies for data modeling, data integration, and metadata management.
• Strong experience in database, data warehouse, data lake design & architecture.
• Leverage cloud platforms (AWS, Azure, GCP, etc.) for data storage, compute, and

analytics services such as Azure Synapse, AWS Redshift, or Google BigQuery.

• Experience in Database programming using multiple flavour of SQL.
• Implement data governance frameworks, including data quality, lineage, and

cataloguing.

• Collaborate with cross-functional teams, including business analysts, data

engineers, and DevOps teams.

• Experience in Big Data ecosystem - on-prem (Hortonworks/MapR) or Cloud

(Dataproc/EMR/HDInsight/Databricks/SnowPark)

• Evaluate emerging cloud technologies and recommend improvements to data

architecture.

• Experience in any orchestration tool such as Airflow/Oozie for scheduling pipelines
• Hands-on experience in using Spark Streaming, Kafka, Databricks, Snowflake, etc.
• Experience working in an Agile/Scrum development process.
• Experience to optimize data systems for cost efficiency, performance, and

scalability.

Required Skills and Experience

• Has strong execution knowledge of Data Modeling, Databases in general (SQL and

NoSQL), software development lifecycle and practices, unit testing, functional

programming, etc.

• 10+ years of experience in data architecture, data engineering, or related roles.
• 5+ years of experience in building scalable enterprise data warehousing and

modelling on prem and/or cloud (AWS, GCP, Azure).

• Expertise in data structures, distributed computing, manipulating and analyzing

complex high-volume data from variety of internal and external sources.

• Expertise in cloud platforms such as Azure, AWS, or Google Cloud and their data

services (e.g., Azure Data Lake, AWS S3, BigQuery).

• Hands-on experience with data integration tools (e.g., Azure Data Factory, Talend,

Informatica).

• Experience in developing ETL designs and data models for structured/ unstructured

and streaming data sources

• Experience with real-time data streaming technologies like Kafka, Kinesis, or Event

Hub.

• Proficiency with big data tools and frameworks like Apache Spark, Databricks,

Snowflake or Hadoop.

• Experience with SQL and NoSQL databases (e.g., SQL Server, Snowflake, Cosmos

DB, DynamoDB).

• Solid knowledge of scripting and programming languages such as Python, Spark,

Java, or Scala.

• Design secure data solutions ensuring compliance with standards such as GDPR,

HIPAA, or CCPA.

• Implement and enforce data governance frameworks, including data cataloguing,

lineage, and access controls.

Being a Mathemagician

• Embody MathCo’s culture and way of working.
• Demonstrate ownership and strive for excellence in delivering results.
• Actively engage and contribute to initiatives fostering company growth.
• Support diversity and appreciate different perspectives.

Recognitions

• Positioned as a Leader in Top Generative AI Service Providers – PeMa Quadrant

2023 by AIMResearch.

• Recognized among Inspiring Workplaces in North America, 2023.
• Accredited for Inclusive Practices by Great Place to Work Institute, India.
• Recognized among India’s Best Workplaces™ for Diversity, Equity, Inclusion &

Belonging 2023 by Great Place To Work® India.