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Data Solution Architect

Data Solution Architect

Relanto

6 - 11 years

16 - 20 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

performance tuning automation metadata data modeling presales rfp analytics sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Overview

The Data Solution Architect is responsible for designing scalable and secure data solutions while also supporting pre-sales activities, proposal development, and client engagement.

Key Responsibilities

1. Solution Design & Architecture

Design end-to-end data architectures including data lakes, data warehouses, lakehouses, and real-time pipelines.
Develop reusable architectural patterns, reference models, and solution frameworks.
Evaluate emerging technologies and recommend optimal components for each solution.

2. Proposal Development & Pre-Sales Support

Collaborate with sales teams to understand client needs and craft compelling technical proposals.
Develop solution blueprints, technical write-ups, effort estimations, and pricing inputs.
Participating in RFP/RFI responses, ensuring architecture, scope, and approach are clearly articulated.
Deliver technical presentations, demos, and workshops to clients.
Translate business problems into clear, value-driven technical solutions.

3. Client Engagement

Work closely with clients to understand data challenges, requirements, and long-term goals.
Serve as the technical point of contact during discovery sessions and pre-sales discussions.
Build trust with executive stakeholders by articulating the value and feasibility of proposed data solutions.

4. Data Platform Development

Guide the implementation of modern cloud-based data platforms (AWS, Azure, or GCP).
Oversee engineering teams in building robust ETL/ELT pipelines, data models, and integration layers.
Ensure solutions adhere to performance, quality, and reliability standards.

5. Governance, Security & Compliance

Define data governance strategies, security frameworks, and compliance controls.
Ensure architectural adherence to standards such as GDPR, HIPAA, or industry-specific regulations.
Establish best practices for data lifecycle management, access policies, and metadata management.

6. DevOps & DataOps Engineering

Design CI/CD pipelines for data pipelines, models, and platform components (e.g., Azure DevOps, GitHub Actions, Jenkins).
Define standard automated deployment processes for ETL/ELT workflows, streaming applications, and analytical models.
Define monitoring, logging, and alerting data workloads using tools such as Prometheus, Grafana, CloudWatch, or Azure Monitor.
Ensure platform reliability, scalability, and observability through automation and performance tuning.

7. Performance Optimization & Innovation

Review architecture performance and guide optimization for scalability and cost-efficiency.
Lead proof-of-concepts (POCs) to validate new technologies or solution approaches.
Continuously evaluate and integrate modern data engineering and AI/ML trends.

Qualifications

Education & Experience

Bachelor s or master s degree in computer science, Information Systems, Data Engineering, or related field.
6+ years of experience in data engineering, analytics platform design, or solution architecture.
Prior experience supporting pre-sales, proposal creation, or client solutions is highly desirable.

Technical Skills

Strong hands-on expertise with cloud data platforms (Snowflake, Databricks, BigQuery, Redshift, Synapse).
Deep understanding of data modeling, ETL/ELT frameworks, and distributed data processing (Spark, Kafka).
Proficiency in SQL and Python; experience with CI/CD, IaC (Terraform), and containerization (Docker/Kubernetes).
Knowledge of BI tools (Power BI, Tableau, Looker) and ML ecosystem is a plus.

Soft Skills

Excellent written communication for producing technical proposals and solution documents.
Strong presentation and pre-sales communication skills with the ability to engage senior stakeholders.
Ability to work cross-functionally with sales, engineering, and business teams.
Analytical mindset with strong problem-solving skills.

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