Data Architect

We are seeking a highly skilled ETL Data Architect to lead our data architecture, engineering, and analytics initiatives as part of the Digital Transformation (DT) Data Practice. The ideal candidate will be responsible for designing scalable data platforms, modern ETL/ELT pipelines, cloud-based data solutions, BI/Analytics ecosystems, and DataOps. This role demands strong technical leadership, strategic thinking, and deep expertise across data lifecycle management.

Key Skills & Competencies

        Strong hands-on experience in ETL/ELT tools: Informatica, SSIS, ADF, Glue, DBT etc.

        Expertise in designing data lakes, DWH, Lakehouse architectures.

        Proficiency in SQL, Python, Spark, PySpark.

        Experienced in cloud platforms: Azure (preferred), AWS, or GCP.

        Strong knowledge of databases: SQL Server, Oracle, Snowflake, BigQuery, Redshift, Synapse, Databricks.

        Solid understanding of data modeling (3NF, Star/Snowflake schema, Data Vault).

        Experience with streaming technologies: Kafka, EventHub, Kinesis, PubSub.

        Familiarity with DataOps practices: CI/CD, Git, testing automation, monitoring.

Good understanding of data security, compliance, IAM, and governance

        Architect scalable data platforms including Data Lakes, Data Warehouses, and Lakehouse solutions across Azure, AWS, or GCP.

        Define data modeling standards, optimization practices, and governance guidelines for enterprise data platforms.

        Lead architectural decisions across data ingestion, transformation, storage, quality assurance, and consumption layers.

        Design and implement high-performance ETL/ELT pipelines

        Build scalable batch and real-time ingestion frameworks

        Ensure strong data quality, lineage tracking, and metadata management across all data flows.

        Implement CI/CD pipelines and modern DataOps practices to streamline development and deployment.

        Automate pipeline monitoring, alerting, logging, testing, and orchestration for operational efficiency.

        Build and optimize analytical data models and consumption layers for BI platforms such as Power BI, Tableau, Qlik, and Looker.

        Collaborate with business teams, cloud architects, data scientists, and application teams to deliver cohesive data solutions.

        Provide technical leadership to engineering teams on design, architecture, and performance tuning activities.

        Establish and enforce enterprise data quality, governance, and security frameworks.

Participate in presales activities, including solutioning, proposal creation, and customer presentations