Data Engineer

Alp Consulting Ltd.; Hyderabad; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Alp Consulting Ltd. is seeking a Data Engineering Architect in Hyderabad, India to lead the transformation of their data engineering function. This role requires defining the vision and architecture of a modern scalable Data Platform that supports self-service analytics across the organization.

The successful candidate will bring 10-15 years of experience in data engineering and strong expertise in Snowflake, AWS services, and Python. This deeply hands-on leadership role also involves mentoring teams and aligning technology with business outcomes.

Qualifications

• 10-15 years in data engineering, analytics or data platform roles.
• Strong hands-on expertise in Snowflake, AWS, and Python.
• Solid understanding of data governance and security compliance.

Responsibilities

• Lead transformation to a modern scalable Data Platform organization.
• Work closely with engineering and product teams to align technology.
• Mentor engineers and build a data-driven culture.

Skills

Snowflake architecture

AWS S3

Python data processing

SQL

BI tools (Tableau, Power BI, Looker)

Strong hands-on expertise

Education

Bachelors or Masters in Computer Science, Engineering

Tools

Snowpark

dbt

Spark

Job description

We are seeking a Data Engineering Architect to lead the transformation of our current data engineering and analytics function into a modern scalable product‑oriented Data Platform organization. You will define the vision, architecture, operating model and execution roadmap required to evolve from project‑based data delivery to a platform that enables self‑service, reliable, governed and analytics‑ready data across the company.

This is a deeply hands‑on leadership role for a technical expert who actively designs systems, prototypes solutions, reviews code and guides teams through complex challenges. You will modernize our data stack, establish platform standards, introduce best practices for reliability and governance, and enable teams across the business to build data products efficiently and safely.

You will work closely with engineering leadership, product teams, analytics and executive stakeholders to align technology strategy with business outcomes, mentor engineers and build a data‑driven culture. Success in this role means not only delivering a modern platform but also elevating the teams’ capabilities, processes and ways of working to operate as a true Data Platform organization.

Required Qualifications

Bachelors or Masters in Computer Science, Engineering or related field.

10-15 years in data engineering, analytics or data platform roles.

Strong hands‑on expertise in

• Snowflake mandatory architecture, performance tuning, data modeling
• AWS mandatory S3, Glue, Lambda, Redshift, EMR etc
• Python mandatory data processing and automation

Strong expertise in logical and physical data modeling including enterprise Logical Data Model (LDM) design.

Deep knowledge of data modeling, dimensional data vault, Star Snowflake schemas.

Strong SQL and experience with ELT/ETL frameworks.

Experience with distributed processing Spark etc.

Solid understanding of batch and real‑time architectures.

Experience with BI tools Tableau, Power BI, Looker etc.

Strong expertise in data governance, security and compliance.

Good to Have

• Experience with Snowpark, dbt or modern semantic layers.
• Exposure to AI concepts, pipelines or integrations.
• Familiarity with LLMs, RAG architectures or vector databases.
• Experience with real‑time event‑driven architectures.
• Background in data‑intensive or SaaS organizations.
• Exposure to GenAI or Agentic AI systems.

Key Traits for Success

• Strong ownership and hands‑on mindset.
• Ability to operate at both strategic and deep technical levels.