{"id":1272723,"url":"https://alion.io/job/nstarx-data-engineerarchitect","title":"Data Engineer/Architect","company":{"id":5880,"name":"NStarX","domain":"nstarxinc.com","url":"https://alion.io/company/nstarx","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":53000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"FinOps","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"AWS","optional":true},{"name":"GCP","optional":true},{"name":"GDPR","optional":true},{"name":"HIPAA","optional":true},{"name":"Platform Engineering","optional":true}],"status":"live","first_seen_at":"2026-08-31T12:39:36Z","employer_posted_date":null,"last_verified_at":"2026-08-31T12:39:36Z","board_verified":false,"closed_at":null,"days_open":45,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":45},"description":"Position: Data Engineer - Architect\n\nOpen Positions: 1\n\nDate: August 2026\n\nSkillset: Azure, Databricks, Snowflake, Spark, PySpark, SQL, Python, ADF/Airflow, Data Modeling, CI/CD, Terraform/Bicep, Data Governance\n\nExperience: 10 to 12+ Years\n\nRequirement: Full-Time\n\nLocation: Hyderabad - Work from Office\n\nCompany Description:\n\nAt NStarX, we live by our mission: being the Lodestar to Success for enterprises navigating the rapidly evolving digital landscape. We build cutting-edge, production-ready platforms that integrate advanced AI, cloud-native architecture, and robust data engineering to solve complex business challenges at scale. If you thrive in a collaborative environment that values technical excellence, architectural ownership, and production-first innovation, NStarX is where your impact will shine.\n\nJob Description:\n\nWe are looking for a Data Engineer - Architect who can bridge high-level data strategy with hands-on engineering. The role will own the design, architecture, governance, and technical direction of enterprise-grade data platforms using modern cloud and distributed-computing technologies. The ideal candidate will bring deep experience in Azure data architecture, Databricks/Snowflake, data modeling, orchestration, DevOps, Infrastructure-as-Code, security, performance optimization, and cloud cost management.\n\nKey Responsibilities:\n\n- System Architecture: Design scalable, resilient, secure, and cost-effective data lakehouses and warehouses using modern patterns such as Medallion Architecture (Bronze/Silver/Gold).\n\n- Technical Leadership: Set engineering standards, conduct architecture and code reviews, establish reusable frameworks, and mentor data engineers on best practices.\n\n- Data Enablement: Deliver reliable, high-performance data platforms that support BI, data science, machine learning, and operational analytics.\n\n- Cloud Architecture: Design end-to-end Azure/cloud infrastructure blueprints covering storage, compute, RBAC, security, network isolation, scalability, and cost optimization.\n\n- Big Data & Processing: Architect and optimize Spark/Databricks/Snowflake workloads, including Delta Lake design, cluster sizing, partitioning, Z-Ordering, Vacuuming, clustering, and performance tuning.\n\n- Data Pipelines & Ingestion: Build and standardize production-grade PySpark, Python, and SQL pipelines supporting batch, micro-batch, streaming, and CDC ingestion patterns.\n\n- Data Modeling: Establish organizational data-modeling standards and design Star/Snowflake schemas, Kimball dimensional models, Data Vault patterns, and Lakehouse storage layers.\n\n- Orchestration: Architect workflow dependencies, retries, alerts, monitoring, and backfilling using Azure Data Factory, Airflow, or Databricks Workflows.\n\n- DevOps & CI/CD: Implement Git-based development standards and automated CI/CD pipelines using Azure DevOps or GitHub Actions for reliable data-platform deployments.\n\n- Infrastructure-as-Code: Design and implement infrastructure provisioning using Terraform, Bicep, or equivalent IaC frameworks.\n\n- Governance & Security: Implement metadata catalogs, lineage, data quality controls, access policies, and regulatory compliance practices using technologies such as Unity Catalog and Microsoft Purview.\n\n- Performance & FinOps: Benchmark workloads, resolve bottlenecks, optimize memory and compute configurations, monitor cloud consumption, and drive cost-efficiency across data platforms.\n\nSkills and Experience:\n\n- Overall Experience: 10 to 12+ years of IT/software engineering experience, with at least 5 years in Azure data architecture, cloud platform design, or equivalent data-platform architecture.\n\n- Distributed Computing: 10+ years of experience working with distributed data processing or modern cloud data platforms, with strong hands-on exposure to Databricks, Spark, Snowflake, or equivalent technologies.\n\n- Data Architecture: Strong understanding of Lakehouse/Warehouse architecture, Medallion Architecture, scalability, resiliency, security, and cost optimization.\n\n- Data Modeling: Strong mastery of Kimball dimensional modeling, Star/Snowflake schemas, Data Vault, and analytical data design.\n\n- Programming: Strong hands-on expertise in Python/PySpark and SQL, including production-grade transformations and performance optimization.\n\n- Orchestration: Strong experience with Airflow, Azure Data Factory, Databricks Workflows, or equivalent orchestration platforms.\n\n- DevOps: Hands-on experience with Git, CI/CD, Infrastructure-as-Code, Terraform/Bicep, and automated deployment practices.\n\n- Cloud & Security: Strong understanding of Azure services, RBAC, identity, network isolation, security controls, monitoring, and enterprise governance.\n\n- Communication & Leadership: Ability to communicate architecture decisions clearly, lead technical discussions, mentor engineers, and work effectively with cross-functional stakeholders.\n\nGood to Have:\n\n- Governance: Experience with Unity Catalog, Microsoft Purview, metadata management, data lineage, data quality, GDPR, HIPAA, or other regulated-data environments.\n\n- Monitoring: Experience with Azure Monitor, Log Analytics, operational alerting, and platform observability.\n\n- Cloud Breadth: Exposure to AWS or GCP data platforms in addition to Azure.\n\n- Modern Data Engineering: Experience with CDC, streaming architectures, reusable ingestion frameworks, and platform engineering practices.\nSkills\nData Engineering, Data Architect, Data Strategy, Medallion Architecture, DataLake, Data Warehousing, Data Pipeline, Data Ingestion, Python, SQL, Snowflake DB","description_format":"text","description_chars":5588,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Mobile App Development Services","Custom Software 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