Solution Architect – Data Engineering (Snowflake & AWS)
At a glance
Mid-level Data Engineering role at Dxctechnology. Bangalore · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Shape end-to-end data, analytics and reporting architectures, then turn business needs into technical designs and delivery roadmaps
- Set reusable design standards and governance, and guide architecture reviews throughout delivery
- Design batch and real-time data pipelines, integration and modelling approaches, and modern data platform architectures
- Build cloud-native data solutions with Snowflake and AWS, addressing security, reliability, recovery and cost
- Lead technical teams, run design sessions, mentor engineers and support estimates, proposals and client presentations
What you bring
- Deep hands-on expertise with Snowflake, AWS, data engineering and analytics
- Experience designing enterprise data platforms and batch or real-time processing pipelines
- Strong grounding in data governance, security controls and architecture leadership
Who this fits
This Bangalore-based role suits a hands-on architect who can guide technical teams and work with business stakeholders. The work model emphasizes in-person collaboration while allowing flexibility.
From the employer
Job Description:
Solution Architect – Data Engineering (Snowflake & AWS)
Job Location: Bangalore
A hands-on Solution Architect with deep expertise in Snowflake, AWS, Data Engineering, and Analytics, capable of designing scalable, secure, and business-focused data platforms while providing strong technical leadership and governance across enterprise transformation programmes.
Key Responsibilities
Solution Architecture
- Define end-to-end architectures for data platforms, analytics, and reporting solutions.
- Translate business requirements into scalable technical designs and implementation roadmaps.
- Establish architecture standards, reusable patterns, and governance frameworks.
- Conduct architecture reviews and provide technical leadership throughout the delivery lifecycle.
Data Engineering & Analytics
- Design modern Data Lake, Lakehouse, Data Warehouse, Data Mesh, and Data Fabric architectures.
- Architect batch and real-time data ingestion, transformation, and processing pipelines.
- Define enterprise data integration, modelling, and data-sharing strategies.
- Drive cloud migration and legacy data platform modernisation initiatives.
Cloud & Platform Architecture
Design cloud-native solutions using Snowflake and AWS.
Architect solutions leveraging:
Snowflake
Amazon S3
AWS Glue
Redshift
EMR
Lake Formation
Lambda
IAM
Kinesis
Ensure scalability, reliability, security, disaster recovery, and cost optimisation.
Data Governance & Security
- Define data governance frameworks covering ownership, metadata, lineage, data quality, and access management.
- Implement security controls including RBAC, encryption, masking, audit, and compliance standards.
- Design secure data-sharing architectures across business units, customers, and partners.
- Leadership & Stakeholder Management
- Lead architects, engineers, and cross-functional delivery teams.
- Mentor technical teams and drive adoption of engineering best practices.
- Facilitate architecture workshops and solution design sessions.
- Support pre-sales, solution estimation, proposals, and client presentations.
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
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