Job Description

Job Information

Date Opened


06/23/2025
Job Type


Full time
Industry


IT Services
City


Hyderabad
State/Province


Telangana
Country


India
Zip/Postal Code


500081

About Us

About DATAECONOMY: We are a fast-growing data & analytics company headquartered in Dublin with offices inDublin, OH, Providence, RI, and an advanced technology center in Hyderabad,India. We are clearly differentiated in the data & analytics space via our suite of solutions, accelerators, frameworks, and thought leadership.

We are seeking an experienced

Data Solution Architect

to lead the design and implementation of scalable, secure, and high-performing data solutions across cloud and hybrid environments. The ideal candidate will bring deep expertise in

Data Engineering, APIs, Python, Spark/PySpark

, and enterprise cloud platforms such as

AWS

and

Azure

. This is a strategic, client-facing role that involves working closely with stakeholders, engineering teams, and business leaders to architect and deliver robust data platforms.

Key Responsibilities:

Architect end-to-end data solutions across cloud (AWS/Azure) and on-premises environments Develop and integrate

RESTful APIs

for data ingestion, transformation, and distribution Define data architecture standards, best practices, and governance frameworks Work with DevOps and cloud teams to deploy solutions using CI/CD and infrastructure-as-code Guide and mentor data engineering teams in solution implementation and performance optimization Ensure high availability, scalability, and data security compliance across platforms Collaborate with product owners and stakeholders to translate business needs into technical specifications Conduct architecture reviews, risk assessments, and solution validation

Requirements

Required Skills & Experience:

15 to 22 years

of total experience in IT, with at least

5+ years in data architecture roles

Strong experience in data processing frameworks and building the ETL solutions Proven expertise in designing and deploying solutions on

AWS and Azure

cloud platforms Hands-on experience with

data integration, real-time streaming

, and

API-based data access

Proficient in data modeling (structured, semi-structured, unstructured data) Deep understanding of

data lakes, data warehouses, and modern data mesh/architecture patterns

Experience with tools such as

Airflow, Glue, Data bricks, Synapse, Redshift, or similar

Knowledge of

security, compliance, and governance

practices in large-scale data platforms Strong communication, leadership, and client-facing skills

Benefits

Standard Company Benefits