Solutions Architect

The purpose of this role is to create solution architectures for systems and platforms ensuring all relevant options are explored for time, cost and compliance to the company’s standards, policies and practices while meeting the business’ requirements. The role will oversee the delivery of the solution for clients both internal and external, shepherding it through the relevant governance.

Job Description:
About the Role:
Key Responsibilities:

- Solution Design & Architecture
- Collaborate with clients and internal stakeholders to gather and understand business and technical requirements.
- Design robust, scalable, and maintainable architectures for:

- Data processing pipelines, ETL workflows, and legacy-to-cloud data migrations
- Select appropriate technologies, tools, and platforms aligned with business goals.
- Define integration strategies, APIs, microservices, and event-driven systems.
- Data Strategy & Innovation
- Develop and evangelize data strategy including data governance, quality, lineage, and access patterns.
- Guide the design and implementation of ETL/ELT workflows, data lakes, data mesh, and data warehouse solutions (e.g., Databricks, Snowflake, Redshift, BigQuery).
- Ensure alignment with regulatory standards (GDPR, HIPAA, etc.).
- Explore and incorporate AI/ML and Generative AI capabilities into business solutions, including model integration, AI service orchestration, and responsible AI practices.
- Technical Leadership & Governance
- Champion software engineering best practices including CI/CD, DevOps, IaC (e.g., Terraform, CloudFormation).
- Conduct architectural reviews, code audits, and provide technical mentorship to developers.
- Establish development benchmarks, coding standards, and deployment guidelines.
- Stakeholder Communication
- Act as a liaison between technical teams and business leaders, translating technical concepts into business value.
- Present architecture proposals and trade-offs to executives and clients.
- Document solutions clearly for technical and non-technical stakeholders.
- Team Enablement & Mentorship
- Mentor and support engineering teams to ensure alignment with architectural vision and standards.
- Foster a culture of continuous improvement and innovation.
- Conduct technical reviews, audits, and retrospectives.

Qualifications:

- Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Experience:

- 10+ years in software development, with at least 4+ years in a solution or enterprise architecture role.
- Proven experience designing solutions across cloud platforms (AWS, Azure, GCP).
- Expertise in data integration, transformation (ETL), and migration projects.
- Experience with AI/ML or Generative AI implementation is a strong plus.
- Technical Skills:

- Proficient in modern data stack: tools like Airflow, dbt, Kafka, Spark, Fivetran, Snowflake, BigQuery.
- Knowledge of MLOps frameworks, LLM integrations, and vector databases (e.g., Pinecone, FAISS, Weaviate).
- Strong understanding of RESTful APIs, GraphQL, containers (Docker, Kubernetes), and serverless architectures.
- Strong knowledge of microservices, APIs, containers (Docker, Kubernetes), and serverless architectures.
- Hands-on experience with DevOps tools and cloud-native development patterns.
- Familiarity with databases (SQL, NoSQL) and data warehousing concepts.
- Soft Skills:

- Excellent interpersonal and communication skills, with the ability to present to technical and non-technical audiences.
- Strategic thinker with a pragmatic approach to solving complex problems.
- Strong organizational and project management skills.

Nice to Have:

- Certification in cloud architecture (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert, GCP Professional Cloud Architect).
- Familiarity with Agile/Scrum methodologies.
- Experience in regulated industries (e.g., finance, healthcare).

Location:
Pune

Brand:
Merkle

Time Type:
Full time

Contract Type:
Permanent