data technical lead

Confiz

<div><p>We are seeking a <b>Technical Project Lead / Data Architect</b> with deep technical expertise in <b>data architecture</b> and <b>machine learning project delivery</b>. The ideal candidate will have strong hands-on experience across the <b>Oracle technology stack</b> (Oracle BI, Oracle Database, Oracle Data Integrator), along with proficiency in <b>Python, Spark, and MS SQL Server</b>.</p>
<p>This role requires the ability to <b>design and implement complex data architectures</b>, ensure <b>governance and quality standards</b>, and <b>lead cross-functional teams</b> to deliver scalable, secure, and high-performing data analytics and ML solutions. The candidate should also bring strong <b>project management and leadership skills</b> to drive successful execution from design through deployment.</p>
<p><b>Key Responsibilities</b></p>
<ul><li>Architect and design scalable, secure, and high-performance data and ML solutions leveraging Oracle and modern data technologies.</li>
<li>Translate business requirements into technical architectures, data models, and analytics frameworks.</li>
<li>Lead end-to-end delivery of data solutions &mdash; including data ingestion, transformation, modeling, analytics, and reporting.</li>
<li>Define and enforce data design principles, standards, and best practices across all data initiatives.</li>
<li>Manage project scope, timelines, risks, and dependencies to ensure successful and timely delivery.</li>
<li>Oversee and optimize data pipelines and ETL/ELT processes using Spark, Python, ODI, and SQL-based platforms.</li>
<li>Implement and maintain data governance and quality frameworks across enterprise data assets.</li>
<li>Collaborate with data scientists, engineers, and business stakeholders to align solutions with business objectives.</li>
<li>Provide technical leadership and mentorship, guiding teams on architecture, design, and implementation best practices.</li>
<li>Continuously evaluate new tools, technologies, and methodologies to improve architecture scalability and performance.</li>
</ul>
<p><b>Required Skills &amp; Experience</b></p>
<ul><li>Bachelor&rsquo;s or equivalent degree in Computer Science, Information Technology, or a related field.</li>
<li><b>8+ years</b> of experience in data architecture, engineering, and ML project delivery.</li>
<li>Proven expertise in Oracle technologies &mdash; including Oracle BI, Oracle Database, and Oracle Data Integrator (ODI).</li>
<li>Strong proficiency in Python, Spark, SQL, and ETL frameworks.</li>
<li>Experience designing scalable, secure, and high-performing data platforms in on-premises environments.</li>
<li>In-depth understanding of data modeling, warehousing, integration, and real-time data processing.</li>
<li>Strong grasp of data governance and quality management principles.</li>
<li>Demonstrated experience in project management and stakeholder engagement, with a track record of delivering complex data projects.</li>
<li>Excellent problem-solving and troubleshooting abilities for complex data architectures.</li>
<li>Exceptional communication and leadership skills, with the ability to present technical concepts to non-technical stakeholders.</li>
</ul>
<p>We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.</p>
<p>What makes Confiz stand out is our focus on processes and culture. Confiz is <b>ISO 9001:2015</b> (QMS), <b>ISO 27001:2022</b> (ISMS), <b>ISO 20000-1:2018</b> (ITSM), <b>ISO 14001:2015</b> (EMS), <b>ISO 45001:2018 </b>(OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.</p>
<p>People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.</p>
<p>To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</p></div>

Technical Project Lead / Data Architect

Indegene

<p></p><div><div><div><div><div><b>Date: </b>11 Nov 2025
</div></div></div></div><div><div><div><div><b>Location:
</b>TG, IN
</div></div></div></div><div><div><div><div><div><div><div><div>Job Description</div>
</div><div>We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that&rsquo;s bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com Looking to jump-start your career? We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegene&rsquo;s high-speed growth. We are purpose-driven. We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work.</div></div><div><div><div>
Must Have</div>
</div><div><div>
Data Engineer Lead- Dataiku</div><br>
<div>
ROLE: Data Engineer Lead - Dataiku</div>
<div>
Desired Profile / Skills<br>
Bachelor's degree in Computer Science, Information Systems, or a related field.<br>
Must have 6-8 years experience with ETL tools (Dataiku) or 8 years exp with other Legacy ETL tools (Informatica, Talend, matillion, DBT etc.)<br>
Must Have 6-10 years SQL(Snowflake, MsSQL, Oracle etc.).<br>
Must have - Technical background with 6-10 years experience in data engineering, ETL frameworks.<br>
Must have team leading and stakeholder management skills including leading design discussions, presentations and status discussions.</div>
<div>
Good to have working in the pharmaceutical or healthcare industry.<br>
Familiarity with tools like DBT, Airflow, SQL Analysis queries.<br>
Experience managing cross-functional teams including data analysts, and engineers.<br>
Strong analytical skills and a problem-solving mindset.<br>
Experience in managing SLAs and ensuring consistent delivery within deadlines.<br>
Experience with Agile and DevOps methodologies for managing data projects.</div><div><br>
JOB DESCRIPTION:<br>
<ul><li>Manage day-to-day data operations ensuring high-quality delivery and alignment with business objectives.</li><li>Oversee the maintenance, improvement, and development of ETL pipelines, data governance, and processes.(Dataiku, SQL).</li><li>Should be proficient with Snowflake Analytical SQL queries, complex SQL queries.</li><li>Continuously review, optimize, and enhance data processes to improve efficiency and reduce risk</li><li>Collaborate closely with onshore stakeholders (Data &amp; Analytics leads, Business Units, IT) to define and implement data strategies and solutions</li><li>Translate business needs into technical solutions, ensuring scalability, reliability, and relevance of the data services provided.</li><li>Develop and maintain strong working relationships with onshore and offshore teams to ensure seamless project execution.</li><li>Translate business needs into technical solutions, ensuring scalability, reliability, and relevance of the data services provided.</li><li>Maintain and publish status reports, and lead governance meetings</li><li>Establish and maintain data governance frameworks, policies, and procedures to ensure data quality and integrity across the organization.</li><li>Monitor and report on data quality issues, working with relevant teams to implement corrective actions.</li><li>Manage the offshore reporting team to develop and maintain dashboards and reports that provide actionable insights to business stakeholders.</li><li>Maintain regular communication with senior leadership and stakeholders on project status, team performance, and any critical issues.</li><li>Develop presentations, reports, and updates for stakeholders that summarize key outcomes, ongoing initiatives, and value delivered</li></ul></div></div></div><div><div><div>
Good to have</div>
</div></div><div></div><div><div><div>EQUAL OPPORTUNITY</div>
</div><div>Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate&rsquo;s merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.</div></div></div></div></div></div></div></div><p></p>

Data Engineer Lead

Codvo.ai

<div><div><div><div><b>Job Title: Data &amp; Databricks Practice Lead</b></div><div><b>
Location: Remote</b></div><div></div><p><b><br>
About Us</b></p><p>
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.</p><div></div><div><b><br>
Role Summary</b></div><div>
We are looking for a dynamic and visionary Practice Lead to build and scale our Data &amp; AI capabilities with a strong focus on Databricks, Apache Spark, Iceberg, Azure Data Fabric, Amazon EMR, and Redshift. This role is pivotal in driving Lakehouse architecture adoption, cloud-native modernization, and ML engineering across industries such as Oil &amp; Gas, Medtech, Retail CPG, and Fintech.</div><div>
You will lead a cross-functional team of architects, engineers, and ML specialists to deliver high-impact solutions that combine technical excellence, cost efficiency, and governance maturity.</div><div><b>
Key Responsibilities</b></div><div>
Strategic Leadership &amp; Practice Growth</div><ul><li>Define and execute the strategic roadmap for the Data &amp; AI practice, aligning with evolving trends in Lakehouse, cloud-native platforms, and AI engineering.</li><li>Build reusable solution accelerators (e.g., Iceberg ingestion templates, Spark ETL frameworks, MLflow pipelines).</li><li>Establish and manage strategic partnerships with Databricks, AWS, Azure, and other ecosystem players.</li><li>Represent the practice in industry forums, client workshops, and thought leadership initiatives.</li></ul><div>
Technical Architecture &amp; Delivery Oversight</div><ul><li>Architect scalable Lakehouse solutions using Delta Lake or Iceberg, optimized for performance and cost.</li><li>Lead the design of unified batch + streaming pipelines using Spark Structured Streaming and Scala.</li><li>Oversee multi-cloud data platform modernization using Azure Data Fabric, EMR, and Redshift.</li><li>Guide implementation of data governance frameworks using Unity Catalog, Azure Purview, and Iceberg metadata.</li></ul><div>
Team Leadership &amp; Capability Building</div><ul><li>Mentor and grow a high-performing team of data engineers, ML engineers, and platform specialists.</li><li>Define career paths, training plans, and certification goals aligned with Databricks, AWS, and Azure.</li><li>Foster a culture of innovation, experimentation, and continuous improvement.</li></ul><div>
Client Engagement &amp; Business Impact</div><ul><li>Engage with clients to understand business challenges and translate them into scalable data solutions.</li><li>Lead solutioning, proposal development, and delivery for strategic engagements.</li><li>Ensure delivery excellence through performance optimization (Photon, EMR Autoscaling) and cost engineering.</li></ul><div><b>
Required Skills &amp; Experience</b></div><ul><li>10+ years of experience in data engineering, architecture, and platform modernization.</li><li>3+ years of hands-on experience with Databricks, Apache Spark, Iceberg, and Scala.</li><li>Deep expertise in cloud-native data platforms (Azure Data Fabric, Amazon EMR, Redshift).</li><li>Proven track record in building ML pipelines, implementing MLOps (MLflow), and integrating Redshift ML.</li><li>Strong understanding of data governance, observability, and schema evolution.</li><li>Excellent leadership, communication, and stakeholder management skills.</li></ul><div><b>
Preferred Qualifications</b></div><ul><li>Certifications in Databricks, Azure Data Engineering, or AWS Big Data.</li><li>Experience in vertical-specific data solutions (e.g., predictive maintenance in Oil &amp; Gas, real-time analytics in Retail).</li><li>Familiarity with data mesh architectures, time travel, and audit compliance frameworks.</li></ul><div><b>
Why Join Us?</b></div><ul><li>Be at the forefront of Lakehouse innovation and AI-driven transformation.</li><li>Work with cutting-edge technologies and shape the future of data platforms.</li><li>Lead a high-impact practice with global reach and industry relevance.</li></ul></div></div></div><p></p>

Data & Databricks Practice Lead (India - Remote)

Hexaware Technologies

Role summary &bull; Seeking an experienced Technical Program Manager with deep domain expertise in data platforms, analytics, and data engineering &bull; 15+ years of experience delivering complex technical programs, with substantial experience focused on data platforms, analytics. &bull; Lead end-to-end planning and execution of large-scale data programs (data platform migrations). &bull; Define program vision, strategy, roadmap, success metrics, milestone plans, and clear release criteria in partnership with product and engineering leaders. &bull; Coordinate cross-functional teams &bull; Track dependencies, risks, assumptions and drive mitigation plans; escalate appropriately to leadership when needed. &bull; Drive architecture and implementation trade-off discussions with technical leads to ensure scalable, reliable, and cost-effective solutions. &bull; Own program-level reporting and communications for stakeholders and executive leadership; present progress, risks, and outcomes. &bull; Manage prioritization across multiple initiatives balancing business value, technical debt, compliance, and resource constraints. &bull; Establish and drive program governance, SLAs, post-launch retrospectives, and continuous improvement processes. &bull; Partner with Security, Privacy, and Legal on data governance, compliance, lineage, and access controls. &bull; Strong analytical and problem-solving skills, with a metrics-driven approach to measuring program success. &bull; Experience managing budgets, vendor relationships, and contracting for third-party data tools or cloud services. &bull; Background in machine learning platform enablement, model operationalization (MLOps), or analytics productization. &bull; Certifications such as PMP, CSM, SAFe PM, or equivalent program management credentials. &bull; Mentor and enable other program managers and technical leads; grow program management capability within the organization. &bull; Required experience &amp; qualifications

Cloud Amaze - Data Technical Delivery Manager

JP Techno Park

<p><b>Job Title:</b> &ensp;&ensp;&ensp;&ensp;&ensp;Tech Lead Data Engineering (DBT)</p><p><b>Location:</b> &ensp;&ensp;&ensp;&ensp; Chennai (On-Site)</p><p><b>Experience:</b> &ensp;&ensp;&ensp;7+ Years</p><p><b>Position Type:</b> Full-Time</p><p><b>Shift Timings: </b>2 - 11 PM</p><p><b>Skillset: &ensp;&ensp;&ensp;&ensp;&ensp; </b>Data Engineering, ETL Pipelines, DBT (Data Build Tool / Data Built Tool), Python, SQL</p><p><b>About the Role: </b>We are seeking an experienced Data Engineering Lead (DBT Tech Lead) to design, build, and lead scalable data transformation and pipeline solutions within a modern data stack environment. The ideal candidate will have deep experience in ETL and Data Engineering with recent hands-on expertise in DBT (Data Build Tool) for data modeling, orchestration, and transformation. This role requires a strong command of SQL, data pipeline optimization, and the ability to lead end-to-end data initiatives that power analytics and business intelligence platforms.</p><p><b>Key Responsibilities</b></p><ul><li>Lead the design, development, and maintenance of data pipelines and ETL workflows.</li><li>Build, optimize, and manage data transformation models using DBT (Cloud or Core).</li><li>Collaborate with data architects and analysts to define data models, schemas, and lineage.</li><li>Ensure high-quality data delivery by implementing best practices for testing, versioning, and documentation within DBT.</li><li>Work with modern data warehouses (e.g., Snowflake, BigQuery, Redshift, Databricks) for transformation and analytics.</li><li>Drive continuous improvement in data architecture, performance tuning, and data governance.</li><li>Provide technical leadership, mentorship, and guidance to junior data engineers.</li><li>Partner with cross-functional teams to translate business requirements into scalable data solutions.</li></ul><p><b>Required Skills &amp; Experience</b></p><ul><li>8+ years of experience in Data Engineering, ETL, and pipeline development.</li><li>2+ years of recent hands-on experience with DBT (Data Build Tool) for transformation and modeling.</li><li>Strong proficiency in SQL (advanced query optimization, data modeling, performance tuning).</li><li>Hands-on experience with at least one modern cloud data warehouse (Snowflake, BigQuery, Redshift, Databricks).</li><li>Proficiency with data pipeline orchestration tools (Airflow, Prefect, or similar).</li><li>Understanding of data warehousing concepts, data quality frameworks, and modern data stack.</li><li>Strong analytical, problem-solving, and troubleshooting skills.</li><li>Excellent communication and team collaboration abilities.</li></ul><p><b>Nice to Have</b></p><ul><li>Experience with Python or Spark for advanced data processing.</li><li>Exposure to data observability tools (e.g., Great Expectations, Monte Carlo).</li><li>Knowledge of Git-based CI/CD workflows for DBT deployment.</li></ul><p>Job Type: Full-time</p><p>Pay: &#8377;2,500,000.00 - &#8377;3,000,000.00 per year</p><p>Experience:</p><ul><li>Lead Data Engineering: 10 years (Required)</li><li>DBT: 10 years (Required)</li><li>Data Build Tool: 10 years (Required)</li><li>DBT Lead: 10 years (Required)</li><li>ETL: 10 years (Required)</li><li>Pipeline Development: 10 years (Required)</li><li>SQL: 10 years (Required)</li><li>Data warehouse: 10 years (Required)</li><li>Snowflake: 10 years (Required)</li><li>BigQuery: 10 years (Required)</li><li>Redshift: 10 years (Required)</li><li>Data pipeline orchestration: 10 years (Required)</li><li>Airflow: 10 years (Required)</li><li>Python : 10 years (Required)</li><li>Data observability: 10 years (Required)</li></ul><p>Work Location: In person</p>

Tech Lead Data Engineering (DBT)

Old National Bank

<div>Overview:
<div>
Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving.</div><div></div><div><i><br>
We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance. 401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of </i><i>Impact Network Groups</i><i> led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization. We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values.</i></div>
Responsibilities:
<div><b>
Position Summary</b></div><div></div><div><br>
A Cloud Data Engineer Lead is a high-level professional responsible for designing, developing, and maintaining the data architecture in our organization. This role is responsible for overseeing the technical aspects of data management, including data integration, processing, storage, and retrieval.</div><div>
The Cloud Data Engineer Lead provides technical leadership to a team of Data Engineers in the enablement and support of our cloud data platform, creation and maintenance of data pipelines, data product development, and data governance patterns to ensure the timeliness and quality of data. The role is responsible for ensuring that data is accurate, reliable, and available to Analysts, Data Scientists, and other stakeholders within our organization.</div><div>
Our Data Engineering teams work in a highly collaborative environments, engage in daily standups, operate within Agile development practices, and participate in a GitOps development model in that everything is code.</div><div></div><div><b><br>
Salary Range</b></div><div>
The salary range for this position is $98,400 - $199,000 per year. Final compensation will be determined by location, skills, experience, qualifications and the career level at which the position is filled.</div><div></div><div><b><br>
Key Accountabilities</b></div><div></div><div><b><br>
Key Accountability 1</b>: Data Engineering and Architecture Strategic Leadership</div><ul><li>
Provide direction for the organization&rsquo;s data engineering and architecture strategy.</li><li>
Make final decisions on data infrastructure design and tool selection, balancing business needs with technical feasibility.</li><li>
Collaborate on requirements gathering while owning the architectural vision and execution.</li><li>
Champion data management best practices across the organization.</li></ul><div><b>
Key Accountability 2</b>: Engineering Execution and Technical Implementation</div><ul><li>
Write production-quality code and implement scalable ETL pipelines using tools like AWS, S3, Glue, Lambda, and Databricks.</li><li>
Apply business intelligence best practices such as dimensional modeling and distributed data processing.</li><li>
Design, build, and maintain modern cloud-based data platforms to support enterprise data needs including integrations, analytics, and AI.</li></ul><div><b>
Key Accountability 3</b>: Team Development and Cross-Functional Collaboration</div><ul><li>
Bootstrap and grow the data engineering team, setting standards and mentoring new members.</li><li>
Translate business requirements into technical solutions, ensuring alignment with broader organizational goals.</li><li>
Enable data-driven decision-making by delivering reliable analytics pipelines and insights.</li></ul><div><b>
Qualifications and Education Requirements</b></div><ul><li>B.S. degree in a related field and 7 to 9 years professional experience OR a total of 7 plus years' experience as Senior Data Engineer, Senior Software Engineer, or equivalent.</li><li>5 plus years working in AWS Cloud (AWS Solution Architect Certification is a plus) and hybrid cloud environments.</li><li>7 plus years working with data warehouse platforms.</li><li>Coding experience in SQL and scripting languages such as Python and Bash and expert working knowledge of the Spark platform, preferably in a cloud data platform environment such as Databricks.</li><li>Experience working with large and complex data sets with multi-terabyte scale is a plus.</li><li>Knowledge of Agile and GitOps methodologies</li><li>Banking experience / knowledge is a plus</li><li>Ability to communicate effectively, both orally and in writing, with clients and groups of employees to build and maintain positive relationships</li><li>Strong leadership and communication skills. You must be able to collaborate with other teams, effectively manage projects, and communicate technical information to non-technical stakeholders.</li></ul></div>

Birlasoft

<div></div><div><div><div><div><div><div><div><div>Country/Region: IN
</div></div></div></div><div><div><div><div>Requisition ID: 30405
</div></div></div></div><div><div><div><div>Work Model:
</div></div></div></div><div><div><div><div>Position Type:
</div></div></div></div><div><div><div><div>Salary Range:
</div></div></div></div><div><div><div><div>Location: INDIA - NOIDA- BIRLASOFT OFFICE
</div></div></div></div></div><div><div><div><div><div><h1 class="jobSectionHeader"><b>Title: </b><b>Technical Lead-Data Engg
</b></h1></div></div></div></div><div><div><div><div>Description:
<div><div><div><h2 class="jobSectionHeader"><b>Area(s) of responsibility</b></h2>
</div><div><p><b>
JD for Azure Data Bricks:
</b></p><p>Core responsibilities</p>
<p><b>
Design and development:</b></p>
<p>
Architect and build scalable, robust data solutions on the Azure Databricks platform.</p>
<p>
 <b>Data pipelines:</b></p>
<p>
Develop and maintain data pipelines, handling both batch and streaming data for various file formats like CSV, JSON, and Parquet.</p>
<p>
 <b>ETL/ELT processes:</b></p>
<p>
Implement and optimize ETL/ELT processes to transform raw data into usable formats for analytics and reporting.</p>
<p>
 <b>Collaboration:</b></p>
<p>
Work closely with data engineers, data scientists, and business analysts to meet data requirements and support machine learning workflows.</p>
<p>
 <b>Performance optimization:</b></p>
<p>
Tune Databricks clusters and jobs for performance, scalability, and cost efficiency.</p>
<p>
 <b>Integration:</b></p>
<p>
Integrate Databricks with other Azure services such as Azure Data Lake, Synapse, Key Vault, and SQL Database.</p>
<p>
 <b>Maintenance and support:</b></p>
<p>
Monitor and troubleshoot data pipelines, resolve issues, and perform code reviews.</p>
<p>
 <b>Security and governance:</b></p>
<p>
Implement security best practices, access controls, and data governance policies.</p>
<p>
 Required skills and experience</p>
<p><b>
Technical proficiency:</b></p>
<ul>
<li>Strong expertise in Azure Databricks and its components.</li>
<li>Proficiency in programming languages like PySpark and Python.</li>
<li>Strong SQL skills.</li>
</ul>
<p> <b>Azure services: </b>Experience with other Azure services like Azure Data Factory, Azure Data Lake Storage (ADLS), and Azure SQL Database</p></div></div></div></div></div></div></div></div></div></div></div><p></p>

Technical Lead-Data Engg

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