Roles and Responsibilities:

ABOUT THE ROLE

JKTech is looking for an experienced Senior Data Architect with robust
expertise in Microsoft Fabric, enterprise data warehousing, and manufacturing
data models. The role requires hands-on technical expertise, architectural
leadership, and the ability to design scalable data platforms supporting
enterprise analytics and manufacturing operations. The candidate should be
comfortable engaging with senior stakeholders, translating business
requirements into technical solutions, and guiding implementation teams.

KEY RESPONSIBILITIES:

* Enterprise Data Architecture: Design scalable Enterprise Data Warehouse and
Lakehouse solutions, primarily using Microsoft Fabric.
* Microsoft Fabric: Architect and implement solutions using OneLake,
Lakehouse, Data Warehouse, Data Factory Pipelines, Dataflows Gen2, Fabric
Notebooks, and Spark.
* Data Modeling: Develop conceptual, logical, and physical data models,
including dimensional modeling, star/snowflake schemas, fact and dimension
tables, and SCD.
* Manufacturing Domain: Design data models supporting production planning,
manufacturing operations, inventory, procurement, supply chain, and operational
KPIs.
* Data Engineering: Design and optimize ETL/ELT pipelines using SQL, Python,
PySpark, Delta Lake, and relevant orchestration frameworks.
* Enterprise Integration: Architect data integration with SAP ECC/S/4HANA,
ERP systems, databases, APIs, and external data sources, including batch,
incremental, and CDC processing.
* Performance & Cost Optimization: Optimize Spark workloads, SQL queries,
storage, compute utilization, and data processing performance.
* Governance & Security: Establish data quality, lineage, RBAC, security, and
governance practices using Microsoft Purview and platform-native capabilities.
* DevOps & Automation:



Define CI/CD, deployment automation, testing, and
version control practices using Azure DevOps, GitHub Actions, Git, and
Terraform.
* Architecture Leadership: Lead solution design, technical reviews,
architecture governance, and engineering teams.
* Stakeholder Engagement: Conduct technical workshops, present architecture
recommendations, and engage with customers and senior stakeholders.
* Solution Consulting: Support technical discovery, architecture assessments,
solution estimation, and proposal development.

QUALIFICATIONS AND TECHNICAL SKILLS

MUST-HAVE

* 12+ years of experience in Data Architecture, Data Engineering, or
Enterprise Data Warehousing.
* Strong hands-on experience with Microsoft Fabric, including OneLake,
Lakehouse, Data Warehouse, Data Factory Pipelines, Dataflows Gen2, Notebooks,
and Spark.
* Expertise in enterprise data modeling, dimensional modeling, star/snowflake
schemas, SCD, and Medallion Architecture.
* Strong proficiency in SQL, Python, PySpark, and Delta Lake.
* Experience designing ETL/ELT pipelines, orchestration workflows, and
enterprise data integrations.
* Experience with Microsoft Azure data services, including ADLS Gen2, Azure
Data Factory, and Azure SQL.
* Understanding of data governance, security, lineage, data quality, and
performance optimization.
* Experience with CI/CD, Git, Azure DevOps, and deployment automation.
* Ability to independently design enterprise data platforms and lead




technical implementation.
* Strong customer-facing communication, solution presentation, and
stakeholder management skills.

MANUFACTURING DOMAIN - MANDATORY

* Proven experience designing data platforms or enterprise data warehouses
for manufacturing organizations.
* Understanding of manufacturing operations, production planning,
procurement, inventory, and supply chain processes.
* Experience modeling manufacturing entities such as Product, Material,
Plant, BOM, Production Order, Inventory, and Supplier.
* Familiarity with manufacturing KPIs, including OEE, production efficiency,
yield, scrap, downtime, and inventory turnover.
* Ability to translate manufacturing business requirements into enterprise
data models and analytical solutions.

NICE TO HAVE:

* Databricks, Unity Catalog, Databricks Workflows, and Spark optimization.
* Snowflake, Azure Synapse, AWS Redshift, or Google BigQuery.
* dbt, Apache Airflow, Kafka, and streaming data processing.
* SAP PP/MM, SAP S/4HANA, MES, and manufacturing data integration.
* Microsoft Purview, Data Vault 2.0, and master data management.
* Power BI, DAX, Direct Lake, and semantic modeling.
* AI/ML and GenAI data integration, MLflow, vector databases, and RAG
pipelines.
* Microsoft Fabric or relevant cloud architecture certifications.

SOFT SKILLS:

* Strong communication, presentation, and stakeholder management.
* Ability to engage with senior customer stakeholders and influence technical
decisions.
* Strong analytical thinking, problem-solving, and architectural judgment.
* Ability to translate business requirements into practical technical
solutions.
* Technical leadership, ownership, and mentoring capabilities.

Skills:

* Data engineeringDomain expertise

📌 Senior data Architect (Bengaluru)
🏢 JK Tech
📍 Bengaluru